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Udacity - Machine Learning Engineer Nanodegree [Course Drive]

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Udacity - Machine Learning Engineer Nanodegree [Course Drive]

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Udacity - Machine Learning Engineer Nanodegree [Course Drive]
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Udacity - Machine Learning Engineer Nanodegree nd009t v1.0.0
Part 01-Module 01-Lesson 01_Welcome to Machine Learning
01. 01 MLNDIntro Program Welcome V3-A8AnsR6e75I.en.vtt
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01. 01 MLNDIntro Program Welcome V3-A8AnsR6e75I.mp4
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01. 01 MLNDIntro Program Welcome V3-A8AnsR6e75I.pt-BR.vtt
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01. 01 MLNDIntro Program Welcome V3-A8AnsR6e75I.zh-CN.vtt
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01. Welcome to the Machine Learning Engineer Nanodegree Program.html
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02. Projects You Will Build-P7YK47GUGWk.en.vtt
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02. Projects You Will Build-P7YK47GUGWk.mp4
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02. Projects You Will Build-P7YK47GUGWk.pt-BR.vtt
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02. Projects You Will Build-P7YK47GUGWk.zh-CN.vtt
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02. Projects You Will Build.html
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03. Program Structure-rjk8-r-Aa5U.en.vtt
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03. Program Structure-rjk8-r-Aa5U.mp4
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03. Program Structure-rjk8-r-Aa5U.pt-BR.vtt
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03. Program Structure-rjk8-r-Aa5U.zh-CN.vtt
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03. Program Structure.html
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04. Deadline Policy.html
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05. Udacity Support.html
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06. Community Guidelines.html
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07. Program Readiness.html
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08. Week 1 Plan.html
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09. Week 2 Plan.html
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img
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screen-shot-2018-08-17-at-2.07.36-pm.png
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screen-shot-2018-08-17-at-2.07.46-pm.png
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semi-supervised-learning.jpg
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index.html
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Part 01-Module 01-Lesson 02_What is Machine Learning
01. Introduction-bYeteZQrUcE.en.vtt
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01. Introduction-bYeteZQrUcE.mp4
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01. Introduction-bYeteZQrUcE.pt-BR.vtt
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01. Introduction-bYeteZQrUcE.zh-CN.vtt
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01. What Is Machine Learning.html
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02. Decision Trees Question-1RonLycEJ34.en.vtt
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02. Decision Trees Question-1RonLycEJ34.mp4
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02. Decision Trees Question-1RonLycEJ34.pt-BR.vtt
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02. Decision Trees Question-1RonLycEJ34.zh-CN.vtt
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02. Decision Trees.html
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03. Decision Trees Quiz.html
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04. Decision Trees Answer-h8zH47iFhCo.en.vtt
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04. Decision Trees Answer-h8zH47iFhCo.mp4
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04. Decision Trees Answer-h8zH47iFhCo.pt-BR.vtt
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04. Decision Trees Answer-h8zH47iFhCo.zh-CN.vtt
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04. Decision Trees Answer.html
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05. Naive Bayes Quiz-jsLkVYXmr3E.en.vtt
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05. Naive Bayes Quiz-jsLkVYXmr3E.mp4
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05. Naive Bayes Quiz-jsLkVYXmr3E.pt-BR.vtt
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05. Naive Bayes Quiz-jsLkVYXmr3E.zh-CN.vtt
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05. Naive Bayes.html
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06. Naive Bayes Quiz.html
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07. Naive Bayes Answer-YKN-fjuZ1VU.en.vtt
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07. Naive Bayes Answer-YKN-fjuZ1VU.mp4
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07. Naive Bayes Answer-YKN-fjuZ1VU.pt-BR.vtt
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07. Naive Bayes Answer-YKN-fjuZ1VU.zh-CN.vtt
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07. Naive Bayes Answer.html
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08. Gradient Descent-BEC0uH1fuGU.en.vtt
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08. Gradient Descent-BEC0uH1fuGU.mp4
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08. Gradient Descent-BEC0uH1fuGU.pt-BR.vtt
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08. Gradient Descent-BEC0uH1fuGU.zh-CN.vtt
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08. Gradient Descent.html
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09. Linear Regression Question-sf51L0RN6zc.en.vtt
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09. Linear Regression Question-sf51L0RN6zc.mp4
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09. Linear Regression Question-sf51L0RN6zc.pt-BR.vtt
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09. Linear Regression Question-sf51L0RN6zc.zh-CN.vtt
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09. Linear Regression Quiz.html
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10. Linear Regression Answer-L5QBqYDNJn0.en.vtt
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10. Linear Regression Answer-L5QBqYDNJn0.mp4
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10. Linear Regression Answer-L5QBqYDNJn0.pt-BR.vtt
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10. Linear Regression Answer-L5QBqYDNJn0.zh-CN.vtt
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10. Linear Regression Answer.html
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11. Logistic Regression Question-wQXKdeVHTmc.en.vtt
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11. Logistic Regression Quiz.html
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12. Logistic Regression Answer-JuAJd9Qvs6U.en.vtt
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12. Logistic Regression Answer-JuAJd9Qvs6U.mp4
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12. Logistic Regression Answer-JuAJd9Qvs6U.pt-BR.vtt
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12. Logistic Regression Answer.html
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13. SVM Question-Fwnjx0s_AIw.en.vtt
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13. SVM Question-Fwnjx0s_AIw.mp4
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13. SVM Question-Fwnjx0s_AIw.pt-BR.vtt
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13. SVM Question-Fwnjx0s_AIw.zh-CN.vtt
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13. Support Vector Machines.html
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14. Support Vector Machines Quiz.html
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15. SVM Answer-JrUtTwfnsfM.en.vtt
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15. SVM Answer-JrUtTwfnsfM.mp4
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15. SVM Answer-JrUtTwfnsfM.pt-BR.vtt
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15. Support Vector Machines Answer.html
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16. Neural Networks-xFu1_2K2D2U.en.vtt
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16. Neural Networks-xFu1_2K2D2U.mp4
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16. Neural Networks-xFu1_2K2D2U.pt-BR.vtt
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16. Neural Networks-xFu1_2K2D2U.zh-CN.vtt
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16. Neural Networks.html
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17. Kernel Method Quiz-x0JqH6-Dhvw.en.vtt
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17. Kernel Method Quiz-x0JqH6-Dhvw.mp4
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17. Kernel Method Quiz-x0JqH6-Dhvw.pt-BR.vtt
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17. Kernel Method Quiz-x0JqH6-Dhvw.zh-CN.vtt
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17. Kernel Method.html
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18. Kernel Method Quiz.html
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19. Kernel Method Answer-dRFd6HaAXys.en.vtt
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19. Kernel Method Answer-dRFd6HaAXys.mp4
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19. Kernel Method Answer-dRFd6HaAXys.pt-BR.vtt
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19. Kernel Method Answer.html
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20. Recap and Challenge-ecREasTrKu4.en.vtt
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20. Recap and Challenge-ecREasTrKu4.mp4
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20. Recap and Challenge-ecREasTrKu4.pt-BR.vtt
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20. Recap and Challenge.html
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21. K-means Clustering-pv_i08zjpQw.en.vtt
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21. K-means Clustering-pv_i08zjpQw.mp4
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21. K-means Clustering-pv_i08zjpQw.pt-BR.vtt
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21. K-means Clustering-pv_i08zjpQw.zh-CN.vtt
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21. K-means Clustering.html
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22. Hierarchical Clustering-1PldDT8AwMA.en.vtt
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22. Hierarchical Clustering-1PldDT8AwMA.mp4
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22. Hierarchical Clustering-1PldDT8AwMA.pt-BR.vtt
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22. Hierarchical Clustering-1PldDT8AwMA.zh-CN.vtt
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22. Hierarchical Clustering.html
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23. Conclusion-hJEuaOUu2yA.en.vtt
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23. Conclusion-hJEuaOUu2yA.mp4
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23. Conclusion-hJEuaOUu2yA.pt-BR.vtt
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23. Conclusion-hJEuaOUu2yA.zh-CN.vtt
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23. Summary.html
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img
decision-trees.png
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kernel-trick.png
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naive-bayes-quiz.png
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svm-image.png
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index.html
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Part 01-Module 01-Lesson 03_Introductory Practice Project
01. Overview.html
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02. Software Requirements.html
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03. Project files.html
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04. Titanic Survival Exploration.html
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index.html
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Part 01-Module 02-Lesson 01_Career Services Available to You
01. Meet the Careers Team-cuKecPpZ7PM.en.vtt
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01. Meet the Careers Team-cuKecPpZ7PM.mp4
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01. Meet the Careers Team-cuKecPpZ7PM.pt-BR.vtt
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01. Meet the Careers Team.html
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02. Access Your Career Portal.html
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03. Your Udacity Professional Profile.html
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img
get-hired-with-the-udacity-career-portal.gif
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screen-shot-2017-10-27-at-1.49.58-pm.png
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screen-shot-2018-07-27-at-1.24.38-pm.png
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udacitylogo-copy.png
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index.html
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Part 02-Module 01-Lesson 01_Training and Testing Models
01. 01 Intro-4C4PuJANIdE.en.vtt
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01. 01 Intro-4C4PuJANIdE.mp4
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01. 01 Intro-4C4PuJANIdE.pt-BR.vtt
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01. Intro.html
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02. 02 Intro SC V1-mIgABrjJVBY.en.vtt
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02. 02 Intro SC V1-mIgABrjJVBY.mp4
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02. 02 Intro SC V1-mIgABrjJVBY.pt-BR.vtt
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02. Outline.html
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03. Stats Refresher.html
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04. Loading data into Pandas.html
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05. NumPy Arrays.html
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06. Training models in sklearn.html
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07. Tuning Parameters Manually.html
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08. MLND Turning Paramaters-eSv2lPcnRM0.en.vtt
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08. MLND Turning Paramaters-eSv2lPcnRM0.mp4
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08. MLND Turning Paramaters-eSv2lPcnRM0.pt-BR.vtt
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08. MLND Turning Paramaters-eSv2lPcnRM0.zh-CN.vtt
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08. Tuning Parameters Automatically.html
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09. Testing your models.html
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09. Testing-gmxGRJSKEb0.en-US.vtt
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09. Testing-gmxGRJSKEb0.mp4
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09. Testing-gmxGRJSKEb0.pt-BR.vtt
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09. Testing-gmxGRJSKEb0.zh-CN.vtt
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10. Quiz Testing in sklearn.html
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curves.png
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dataframe.png
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linear-boundary.png
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points.png
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index.html
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Part 02-Module 02-Lesson 01_Evaluation Metrics
01. Confusion Matrix-Question 1-9GLNjmMUB_4.en-US.vtt
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01. Confusion Matrix-Question 1-9GLNjmMUB_4.en.vtt
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01. Confusion Matrix-Question 1-9GLNjmMUB_4.mp4
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01. Confusion Matrix-Question 1-9GLNjmMUB_4.pt-BR.vtt
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01. Confusion Matrix-Question 1-9GLNjmMUB_4.zh-CN.vtt
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01. Confusion Matrix.html
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02. Confusion Matrix 2.html
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02. Confusion-Matrix-Solution-ywwSzyU9rYs.en-US.vtt
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02. Confusion-Matrix-Solution-ywwSzyU9rYs.en.vtt
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02. Confusion-Matrix-Solution-ywwSzyU9rYs.mp4
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02. Confusion-Matrix-Solution-ywwSzyU9rYs.pt-BR.vtt
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02. Confusion-Matrix-Solution-ywwSzyU9rYs.zh-CN.vtt
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03. Accuracy-s6SfhPTNOHA.en-US.vtt
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03. Accuracy-s6SfhPTNOHA.en.vtt
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03. Accuracy-s6SfhPTNOHA.mp4
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03. Accuracy-s6SfhPTNOHA.pt-BR.vtt
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03. Accuracy-s6SfhPTNOHA.zh-CN.vtt
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03. Accuracy.html
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04. Accuracy 2-ueYCLfd_aNQ.en-US.vtt
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04. Accuracy 2-ueYCLfd_aNQ.en.vtt
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04. Accuracy 2-ueYCLfd_aNQ.mp4
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04. Accuracy 2-ueYCLfd_aNQ.pt-BR.vtt
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04. Accuracy 2-ueYCLfd_aNQ.pt.vtt
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04. Accuracy 2-ueYCLfd_aNQ.zh-CN.vtt
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04. Accuracy 2.html
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05. When Accuracy Wont Work-r0-O-gIDXZ0.en.vtt
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05. When Accuracy Wont Work-r0-O-gIDXZ0.mp4
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05. When Accuracy Wont Work-r0-O-gIDXZ0.pt-BR.vtt
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05. When accuracy won't work.html
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06. 04 Quiz False Negatives And Positives SC V1-_ytP9zIkziw.en.vtt
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06. 04 Quiz False Negatives And Positives SC V1-_ytP9zIkziw.mp4
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06. 04 Quiz False Negatives And Positives SC V1-_ytP9zIkziw.pt-BR.vtt
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06. False Negatives and Positives.html
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07. Answer False Negatives And Positives-KOytJL1lvgg.en.vtt
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07. Answer False Negatives And Positives-KOytJL1lvgg.mp4
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07. Answer False Negatives And Positives-KOytJL1lvgg.pt-BR.vtt
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07. Precision and Recall.html
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08. 06 Precision SC V1-q2wVorBfefU.en.vtt
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08. 06 Precision SC V1-q2wVorBfefU.mp4
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08. 06 Precision SC V1-q2wVorBfefU.pt-BR.vtt
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08. Precision.html
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09. 07 Recall SC V1-0n5wUZiefkQ.en.vtt
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09. 07 Recall SC V1-0n5wUZiefkQ.mp4
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09. 07 Recall SC V1-0n5wUZiefkQ.pt-BR.vtt
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09. Recall.html
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10. 08 F1 Score SC V1-TRzBeL07fSg.en.vtt
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10. 08 F1 Score SC V1-TRzBeL07fSg.mp4
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10. 08 F1 Score SC V1-TRzBeL07fSg.pt-BR.vtt
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10. F1 Score.html
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11. 09 Quiz Fbeta Score SC V1-KSswld4_9bY.en.vtt
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11. 09 Quiz Fbeta Score SC V1-KSswld4_9bY.mp4
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11. 09 Quiz Fbeta Score SC V1-KSswld4_9bY.pt-BR.vtt
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11. F-beta Score.html
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12. ROC Curve-2Iw5TiGzJI4.en.vtt
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12. ROC Curve-2Iw5TiGzJI4.mp4
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12. ROC Curve-2Iw5TiGzJI4.pt-BR.vtt
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12. ROC Curve-2Iw5TiGzJI4.zh-CN.vtt
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12. ROC Curve.html
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13. Regression Metrics.html
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13. Regression-Metrics-906P4BPnl9A.en-US.vtt
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13. Regression-Metrics-906P4BPnl9A.mp4
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13. Regression-Metrics-906P4BPnl9A.pt-BR.vtt
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confusion.png
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email.png
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fbeta.png
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recall-quiz.png
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index.html
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Part 02-Module 03-Lesson 01_Model Selection
01. 04 L Types Of Errors-Twf1qnPZeSY.en-US.vtt
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01. 04 L Types Of Errors-Twf1qnPZeSY.mp4
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01. Types of Errors.html
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02. Model Complexity Graph-Question-YS5OQCA5cLY.en-US.vtt
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02. Model Complexity Graph-Question-YS5OQCA5cLY.mp4
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02. Model Complexity Graph.html
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03. Cross Validation.html
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03. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.en-US.vtt
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03. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.mp4
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03. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.pt-BR.vtt
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03. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.zh-CN.vtt
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04. K-Fold Cross Validation.html
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04. KFold Cross Validation V3 V1-9W6o6eWGi-0.mp4
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04. KFold Cross Validation V3 V1-9W6o6eWGi-0.pt-BR.vtt
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05. Learning Curves SC V1-ZNhnNVKl8NM.en.vtt
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05. Learning Curves SC V1-ZNhnNVKl8NM.mp4
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05. Learning Curves SC V1-ZNhnNVKl8NM.pt-BR.vtt
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05. Learning Curves.html
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06. Detecting Overfitting and Underfitting with Learning Curves.html
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07. Solution Detecting Overfitting and Underfitting.html
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08. Grid Search SC V1-zDw-ZGiHW5I.en.vtt
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08. Grid Search SC V1-zDw-ZGiHW5I.mp4
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08. Grid Search SC V1-zDw-ZGiHW5I.pt-BR.vtt
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08. Grid Search.html
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09. Grid Search in sklearn.html
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10. Grid Search Lab.html
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11. [Solution] Grid Search Lab.html
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Part 02-Module 04-Lesson 01_NumPy and pandas Assessment
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Part 02-Module 04-Lesson 02_Model Evaluation and Validation Assessment
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index.html
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Part 02-Module 05-Lesson 01_Predicting Boston Housing Prices
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02. Starting the project.html
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03. Submitting the project.html
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Project Description - Predicting Boston Housing Prices.html
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Project Rubric - Predicting Boston Housing Prices.html
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Part 03-Module 01-Lesson 01_Linear Regression
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04. Fitting A Line-gkdoknEEcaI.en.vtt
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08. Gradient Descent-4s4x9h6AN5Y.en.vtt
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09. Mean Absolute Error-vLKiY0Ehors.en.vtt
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10. Mean Squared Error-MRyxmZDngI4.en.vtt
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12. Mean vs Total Error.html
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13. Mini-batch Gradient Descent.html
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14. Absolute Error vs Squared Error.html
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15. Linear Regression in scikit-learn.html
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17. Multiple Linear Regression.html
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19. (Optional) Closed form Solution Math.html
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20. Linear Regression Warnings.html
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21. Polynomial Regression-DBhWG-PagEQ.en.vtt
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22. Regularization-PyFNIcsNma0.en.vtt
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23. Conclusion-pyeojf0NniQ.en.vtt
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Part 03-Module 01-Lesson 02_Perceptron Algorithm
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01. Perception Algorithm V2-ebIlG6Pqwas.en.vtt
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02. Classification Problems 1.html
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04. Linear Boundaries-X-uMlsBi07k.en.vtt
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05. 09 Higher Dimensions-eBHunImDmWw.en.vtt
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06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.en.vtt
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06. Perceptrons.html
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08. DL 10 S Perceptron Algorithm-fATmrG2hQzI.en.vtt
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09. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.en.vtt
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10. Outro.html
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Part 03-Module 01-Lesson 03_Decision Trees
01. Intro.html
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02. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.en.vtt
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05. MLND SL DT 04 Q Student Admissions V3 MAIN V1-MOa335cQGI4.en.vtt
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05. Quiz Student Admissions.html
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06. Solution Student Admissions.html
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07. Entropy-piLpj1V1HEk.en.vtt
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07. Entropy.html
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08. Entropy Formula 1.html
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09. Entropy Formula 2.html
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09. MLND SL DT 08 Entropy Formula 2 MAIN V2-6GHg70hrSJw.en.vtt
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11. Multiclass Entropy.html
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12. MLND SL DT 10 Q Information Gain MAIN V1-tVLOLPEtLFw.en.vtt
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12. Quiz Information Gain.html
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13. Solution Information Gain.html
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14. Maximizing Information Gain-3FgJOpKfdY8.en.vtt
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15. MLND SL DT 13 Random Forests MAIN V1-n5DhXhcYKcw.en.vtt
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15. Random Forests.html
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16. Hyperparameters.html
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17. Decision Trees in sklearn.html
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18. Titanic Survival Model with Decision Trees.html
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19. [Solution] Titanic Survival Model.html
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20. Outro.html
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img
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Part 03-Module 01-Lesson 04_Naive Bayes
01. Intro.html
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01. Naive Bayes Intro V2-vNOiQXghgRY.en.vtt
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01. Naive Bayes Intro V2-vNOiQXghgRY.mp4
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01. Naive Bayes Intro V2-vNOiQXghgRY.pt-BR.vtt
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01. Naive Bayes Intro V2-vNOiQXghgRY.zh-CN.vtt
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02. Guess the Person.html
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02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.en.vtt
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02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.mp4
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02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.pt-BR.vtt
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03. Known and Inferred.html
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03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.en.vtt
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03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.mp4
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04. Guess the Person Now.html
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04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.en.vtt
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04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.mp4
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04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.pt-BR.vtt
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04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.zh-CN.vtt
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05. Bayes Theorem.html
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05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.en.vtt
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05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.mp4
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05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.pt-BR.vtt
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05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.zh-CN.vtt
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06. Quiz False Positives.html
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06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.en.vtt
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06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.pt-BR.vtt
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06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.zh-CN.vtt
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07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.en.vtt
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07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.mp4
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07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.pt-BR.vtt
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07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.zh-CN.vtt
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07. Solution False Positives.html
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08. Bayesian Learning 1.html
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08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.en.vtt
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08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.mp4
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08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.pt-BR.vtt
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08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.zh-CN.vtt
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09. Bayesian Learning 2.html
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09. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.en.vtt
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09. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.mp4
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10. Bayesian Learning 3.html
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10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.en.vtt
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10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.mp4
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10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.pt-BR.vtt
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10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.zh-CN.vtt
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11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.en.vtt
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11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.mp4
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11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.pt-BR.vtt
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11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.zh-CN.vtt
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11. Naive Bayes Algorithm 1.html
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12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.en.vtt
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12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.mp4
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12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.zh-CN.vtt
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12. Naive Bayes Algorithm 2.html
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13. Building a Spam Classifier.html
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14. Project.html
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15. Spam Classifier - Workspace.html
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16. Outro.html
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img
meme.png
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spam.png
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spamham.png
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index.html
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Part 03-Module 01-Lesson 05_Support Vector Machines
01. Intro.html
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01. Support Vector Machine V2-LBmM6pZCrI0.en.vtt
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01. Support Vector Machine V2-LBmM6pZCrI0.mp4
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01. Support Vector Machine V2-LBmM6pZCrI0.pt-BR.vtt
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543 B
01. Support Vector Machine V2-LBmM6pZCrI0.zh-CN.vtt
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02. SVM 01 Which Line Is Better V1-NCml_NCvd1I.en.vtt
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02. SVM 01 Which Line Is Better V1-NCml_NCvd1I.mp4
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1.55 MB
02. SVM 01 Which Line Is Better V1-NCml_NCvd1I.pt-BR.vtt
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02. SVM 01 Which Line Is Better V1-NCml_NCvd1I.zh-CN.vtt
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02. Which line is better.html
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03. Minimizing Distances.html
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03. SVM 02 Minimizing Distances V1-mNKk2dBsNGA.en.vtt
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03. SVM 02 Minimizing Distances V1-mNKk2dBsNGA.mp4
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03. SVM 02 Minimizing Distances V1-mNKk2dBsNGA.pt-BR.vtt
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04. Error Function Intuition.html
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04. SVM 03 Error Function V1-l-ahImxoi-U.en.vtt
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04. SVM 03 Error Function V1-l-ahImxoi-U.mp4
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04. SVM 03 Error Function V1-l-ahImxoi-U.pt-BR.vtt
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04. SVM 03 Error Function V1-l-ahImxoi-U.zh-CN.vtt
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05. Perceptron Algorithm.html
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05. SVM 04 Perceptron Algorithm V1-IIlQHBOrD6Q.en.vtt
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05. SVM 04 Perceptron Algorithm V1-IIlQHBOrD6Q.mp4
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05. SVM 04 Perceptron Algorithm V1-IIlQHBOrD6Q.pt-BR.vtt
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06. Classification Error.html
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06. SVM 05 Classification Error V1-nWGVAGXwvGE.en.vtt
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06. SVM 05 Classification Error V1-nWGVAGXwvGE.mp4
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06. SVM 05 Classification Error V1-nWGVAGXwvGE.pt-BR.vtt
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06. SVM 05 Classification Error V1-nWGVAGXwvGE.zh-CN.vtt
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07. Margin Error.html
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07. SVM 06 Margin Error V2-dSac8Gfgbok.en.vtt
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07. SVM 06 Margin Error V2-dSac8Gfgbok.mp4
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07. SVM 06 Margin Error V2-dSac8Gfgbok.pt-BR.vtt
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07. SVM 06 Margin Error V2-dSac8Gfgbok.zh-CN.vtt
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08. (Optional) Margin Error Calculation.html
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09. Error Function.html
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09. SVM 07 Error Function V1-A1wbrcSYc1c.en.vtt
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09. SVM 07 Error Function V1-A1wbrcSYc1c.mp4
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09. SVM 07 Error Function V1-A1wbrcSYc1c.pt-BR.vtt
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09. SVM 07 Error Function V1-A1wbrcSYc1c.zh-CN.vtt
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10. SVM 08 The C Parameter V2-6CxPhVo0hRw.en.vtt
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10. SVM 08 The C Parameter V2-6CxPhVo0hRw.mp4
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10. SVM 08 The C Parameter V2-6CxPhVo0hRw.pt-BR.vtt
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10. SVM 08 The C Parameter V2-6CxPhVo0hRw.zh-CN.vtt
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10. The C Parameter.html
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11. Polynomial Kernel 1.html
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11. SVM 09 Polynomial Kernel 1 V1-8t2tVDHNBnk.en.vtt
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11. SVM 09 Polynomial Kernel 1 V1-8t2tVDHNBnk.mp4
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11. SVM 09 Polynomial Kernel 1 V1-8t2tVDHNBnk.pt-BR.vtt
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11. SVM 09 Polynomial Kernel 1 V1-8t2tVDHNBnk.zh-CN.vtt
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12. Polynomial Kernel 2.html
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12. SVM 10 Polynomial Kernel 2 V2-9RfFvZ9DIRg.en.vtt
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12. SVM 10 Polynomial Kernel 2 V2-9RfFvZ9DIRg.mp4
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12. SVM 10 Polynomial Kernel 2 V2-9RfFvZ9DIRg.pt-BR.vtt
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12. SVM 10 Polynomial Kernel 2 V2-9RfFvZ9DIRg.zh-CN.vtt
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13. Polynomial Kernel 3.html
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13. SVM 11 Polynomial Kernel 3 V1-XmbK8OjbX5U.en.vtt
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13. SVM 11 Polynomial Kernel 3 V1-XmbK8OjbX5U.mp4
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13. SVM 11 Polynomial Kernel 3 V1-XmbK8OjbX5U.pt-BR.vtt
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13. SVM 11 Polynomial Kernel 3 V1-XmbK8OjbX5U.zh-CN.vtt
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14. RBF Kernel 1.html
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14. SVM 12 RBF Kernel 1 V3-xdkIulxXWfQ.en.vtt
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14. SVM 12 RBF Kernel 1 V3-xdkIulxXWfQ.mp4
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14. SVM 12 RBF Kernel 1 V3-xdkIulxXWfQ.pt-BR.vtt
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14. SVM 12 RBF Kernel 1 V3-xdkIulxXWfQ.zh-CN.vtt
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15. RBF Kernel 2.html
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15. SVM 13 RBF Kernel 2 V1-ozl9UWVP0MI.en.vtt
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15. SVM 13 RBF Kernel 2 V1-ozl9UWVP0MI.mp4
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15. SVM 13 RBF Kernel 2 V1-ozl9UWVP0MI.pt-BR.vtt
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16. RBF Kernel 3.html
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16. SVM 14 RBF Kernel 3 V1-DctkE8kaWPY.en.vtt
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16. SVM 14 RBF Kernel 3 V1-DctkE8kaWPY.mp4
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16. SVM 14 RBF Kernel 3 V1-DctkE8kaWPY.pt-BR.vtt
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16. SVM 14 RBF Kernel 3 V1-DctkE8kaWPY.zh-CN.vtt
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17. SVMs in sklearn.html
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18. Outro.html
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img
margin-geometry-images.001.jpeg
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margin-geometry-images.002.jpeg
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polynomial-kernel-2-quiz.png
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screen-shot-2017-08-09-at-7.09.54-pm.png
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index.html
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Part 03-Module 01-Lesson 06_Ensemble Methods
01. Intro.html
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01. MLND SL EM 01 Intro V1 MAIN V2-5v9KqIo6CFE.en.vtt
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01. MLND SL EM 01 Intro V1 MAIN V2-5v9KqIo6CFE.mp4
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3.38 MB
01. MLND SL EM 01 Intro V1 MAIN V2-5v9KqIo6CFE.pt-BR.vtt
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02. Bagging.html
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02. MLND SL EM 02 Bagging V1 MAIN V1-9L_B0Jcio3c.en.vtt
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02. MLND SL EM 02 Bagging V1 MAIN V1-9L_B0Jcio3c.mp4
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02. MLND SL EM 02 Bagging V1 MAIN V1-9L_B0Jcio3c.pt-BR.vtt
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03. AdaBoost.html
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03. MLND SL EM 03 AdaBoost V1 MAIN V1-HD6SRBWKGUE.en.vtt
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03. MLND SL EM 03 AdaBoost V1 MAIN V1-HD6SRBWKGUE.mp4
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2.17 MB
03. MLND SL EM 03 AdaBoost V1 MAIN V1-HD6SRBWKGUE.pt-BR.vtt
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04. MLND SL EM 04 Weighting The Data MAIN V1 V2-O-hh_x0iYW8.en.vtt
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04. MLND SL EM 04 Weighting The Data MAIN V1 V2-O-hh_x0iYW8.mp4
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04. MLND SL EM 04 Weighting The Data MAIN V1 V2-O-hh_x0iYW8.pt-BR.vtt
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04. Weighting the Data.html
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05. MLND SL EM 05 Weighting The Models MAIN V1-wn6K536dPLc.en.vtt
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05. MLND SL EM 05 Weighting The Models MAIN V1-wn6K536dPLc.mp4
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05. MLND SL EM 05 Weighting The Models MAIN V1-wn6K536dPLc.pt-BR.vtt
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05. Weighting the Models 1.html
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06. MLND SL EM 06 Weighting The Models MAIN V2-unCJ_ifVquU.en.vtt
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06. MLND SL EM 06 Weighting The Models MAIN V2-unCJ_ifVquU.mp4
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06. MLND SL EM 06 Weighting The Models MAIN V2-unCJ_ifVquU.pt-BR.vtt
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06. Weighting the Models 2.html
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07. MLND SL EM 07 Weighting The Models 3 V1 MAIN V1-fecp5nmetws.en.vtt
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07. MLND SL EM 07 Weighting The Models 3 V1 MAIN V1-fecp5nmetws.mp4
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2.85 MB
07. MLND SL EM 07 Weighting The Models 3 V1 MAIN V1-fecp5nmetws.pt-BR.vtt
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07. Weighting the Models 3.html
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08. Combining the Models.html
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08. MLND SL EM 08 Combining The Models V1 MAIN V1-1GxscvKU2Ic.en.vtt
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08. MLND SL EM 08 Combining The Models V1 MAIN V1-1GxscvKU2Ic.mp4
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08. MLND SL EM 08 Combining The Models V1 MAIN V1-1GxscvKU2Ic.pt-BR.vtt
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09. AdaBoost in sklearn.html
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10. Resources.html
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11. Outro.html
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11. Supervised Learning Outro V2-7X2SDqzGrdU.en.vtt
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11. Supervised Learning Outro V2-7X2SDqzGrdU.mp4
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2.33 MB
11. Supervised Learning Outro V2-7X2SDqzGrdU.zh-CN.vtt
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img
screen-shot-2018-01-03-at-2.20.30-pm.png
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screen-shot-2018-01-03-at-2.23.38-pm.png
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index.html
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Part 03-Module 01-Lesson 07_Supervised Learning Assessment
01. Supervised Learning Assessment.html
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index.html
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Part 03-Module 01-Lesson 08_Supervised Learning Project
01. ML Charity Project-aVodYHcOB8U.en.vtt
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01. ML Charity Project-aVodYHcOB8U.mp4
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3.99 MB
01. ML Charity Project-aVodYHcOB8U.pt-BR.vtt
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01. Overview.html
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02. Software Requirements.html
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03. Starting the project.html
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04. Submitting the project.html
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05. Uploading to Workspace.html
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06. Project Workspace.html
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Project Description - Finding Donors for CharityML.html
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Project Rubric - Finding Donors for CharityML.html
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img
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step-2-file-upload.png
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step1-file-upload.png
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index.html
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Part 04-Module 02-Lesson 01_Clustering
01. Introduction.html
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02. Unsupervised Learning-Mx9f99bRB3Q.ar.vtt
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02. Unsupervised Learning-Mx9f99bRB3Q.en.vtt
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02. Unsupervised Learning-Mx9f99bRB3Q.mp4
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02. Unsupervised Learning-Mx9f99bRB3Q.pt-BR.vtt
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02. Unsupervised Learning-Mx9f99bRB3Q.zh-CN.vtt
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02. Unsupervised Learning.html
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03. Clustering Movies-g8PKffm8IRY.ar.vtt
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03. Clustering Movies-g8PKffm8IRY.en.vtt
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03. Clustering Movies-g8PKffm8IRY.mp4
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03. Clustering Movies-g8PKffm8IRY.pt-BR.vtt
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03. Clustering Movies-g8PKffm8IRY.zh-CN.vtt
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03. Clustering Movies.html
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04. How Many Clusters-8Ygq5dRV0Kk.ar.vtt
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04. How Many Clusters-8Ygq5dRV0Kk.en.vtt
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04. How Many Clusters-8Ygq5dRV0Kk.mp4
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04. How Many Clusters-8Ygq5dRV0Kk.zh-CN.vtt
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04. How Many Clusters-R6oIvdBtsZw.ar.vtt
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04. How Many Clusters-R6oIvdBtsZw.mp4
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04. How Many Clusters-R6oIvdBtsZw.pt-BR.vtt
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04. How Many Clusters-R6oIvdBtsZw.zh-CN.vtt
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04. How Many Clusters.html
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05. Match Points with Clusters-lS5DfbsWH34.ar.vtt
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05. Match Points with Clusters-lS5DfbsWH34.mp4
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05. Match Points with Clusters-lS5DfbsWH34.pt-BR.vtt
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05. Match Points with Clusters-wJV1cRjmIYY.ar.vtt
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05. Match Points with Clusters-wJV1cRjmIYY.mp4
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05. Match Points with Clusters-wJV1cRjmIYY.zh-CN.vtt
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05. Match Points with Clusters.html
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06. Optimizing Centers (Rubber Bands)-TN1rQMrx65c.ar.vtt
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06. Optimizing Centers (Rubber Bands)-TN1rQMrx65c.en.vtt
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06. Optimizing Centers (Rubber Bands)-TN1rQMrx65c.mp4
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06. Optimizing Centers (Rubber Bands)-TN1rQMrx65c.pt-BR.vtt
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07. Moving Centers 2.html
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10. K-Means Cluster Visualization-ZMfwPUrOFsE.ar.vtt
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10. K-Means Cluster Visualization.html
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11. K-Means Clustering Visualization 2-fQXXa-CAoS0.ar.vtt
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11. K-Means Clustering Visualization 2.html
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12. K-Means Clustering Visualization 3-WfwX3B4d8_I.ar.vtt
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12. K-Means Clustering Visualization 3.html
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13. Sklearn-3zHUAXcoZ7c.ar.vtt
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13. Sklearn.html
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14. Some challenges of k-means-e2CdlG5P4WA.ar.vtt
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14. Some challenges of k-means.html
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15. Limitations of K-Means-4Fkfu37el_k.ar.vtt
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15. Limitations of K-Means.html
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16. Counterintuitive Clusters-StmEUgT1XSY.ar.vtt
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16. Counterintuitive Clusters.html
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17. Counterintuitive Clusters 2.html
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Part 04-Module 02-Lesson 02_Clustering Mini-Project
01. Intro.html
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02. K-means clustering of movie ratings.html
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03. Solution.html
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index.html
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Part 04-Module 02-Lesson 03_Hierarchical and Density-based Clustering
01. K-means considerations.html
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01. MLND - Unsupervised Learning - L2 01 V2-NHb8w_M8nDY.en.vtt
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01. MLND - Unsupervised Learning - L2 01 V2-NHb8w_M8nDY.mp4
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02. MLND - Unsupervised Learning - L2 02 V1-Ed6RKuBzKWA.en.vtt
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02. Overview of other clustering methods.html
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03. Hierarchical clustering single-link.html
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03. MLND - Unsupervised Learning - L2 03 V2-pd9Ix3WMP_Q.en.vtt
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03. MLND - Unsupervised Learning - L2 03 V2-pd9Ix3WMP_Q.mp4
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04. Examining single-link clustering.html
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04. MLND - Unsupervised Learning - L2 04 Examining SingleLink Clustering MAIN V1 V2-foLcmCOLDos.en.vtt
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04. MLND - Unsupervised Learning - L2 04 Examining SingleLink Clustering MAIN V1 V2-foLcmCOLDos.mp4
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05. Complete-link, average-link, Ward.html
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05. MLND - Unsupervised Learning - L2 05 CompleteLink AverageLink Ward MAIN V1 V2-dWGQVcZ95d0.en.vtt
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05. MLND - Unsupervised Learning - L2 05 CompleteLink AverageLink Ward MAIN V1 V2-dWGQVcZ95d0.mp4
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06. Hierarchical clustering implementation.html
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06. MLND - Unsupervised Learning - L2 06 Hierarchical Clustering Implementation MAIN V1 V1-tRqKsk5M9Mc.en.vtt
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07. [Lab] Hierarchical clustering .html
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08. [Lab Solution] Hierarchical Clustering.html
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09. HC examples and applications.html
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09. MLND - Unsupervised Learning - L2 07 HC Examples & Applications MAIN V1 V2-HTahFoQwk2g.en.vtt
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10. [Quiz] Hierarchical clustering.html
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11. DBSCAN.html
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11. MLND - Unsupervised Learning - L2 08 DBSCAN MAIN V1 V2--dqyFkfnctI.en.vtt
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12. DBSCAN implementation.html
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12. MLND - Unsupervised Learning - L2 09 DBSCAN Implementation MAIN V1 V1-qEMUzQFylg8.en.vtt
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12. MLND - Unsupervised Learning - L2 09 DBSCAN Implementation MAIN V1 V1-qEMUzQFylg8.mp4
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13. [Lab] DBSCAN.html
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14. [Lab Solution] DBSCAN.html
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15. DBSCAN examples & applications.html
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15. MLND - Unsupervised Learning - L2 10 DBSCAN Examples & Applications MAIN V1 V2-GhyFsjQ4FkA.en.vtt
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15. MLND - Unsupervised Learning - L2 10 DBSCAN Examples & Applications MAIN V1 V2-GhyFsjQ4FkA.mp4
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16. [Quiz] DBSCAN.html
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index.html
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Part 04-Module 02-Lesson 04_Gaussian Mixture Models and Cluster Validation
01. Intro.html
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01. MLND - Unsupervised Learning - L3 01 Gaussian Mixture Model MAINv1 V3-SLdZrt0CvOk.en.vtt
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01. MLND - Unsupervised Learning - L3 01 Gaussian Mixture Model MAINv1 V3-SLdZrt0CvOk.mp4
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01. MLND - Unsupervised Learning - L3 01 Gaussian Mixture Model MAINv1 V3-SLdZrt0CvOk.zh-CN.vtt
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02. Gaussian Mixture Model (GMM) Clustering.html
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02. MLND - Unsupervised Learning - L3 2 Gaussian Mixture Model Clustering MAIN V1 V2-Y_methsXoFA.en.vtt
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02. MLND - Unsupervised Learning - L3 2 Gaussian Mixture Model Clustering MAIN V1 V2-Y_methsXoFA.mp4
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02. MLND - Unsupervised Learning - L3 2 Gaussian Mixture Model Clustering MAIN V1 V2-Y_methsXoFA.pt-BR.vtt
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02. MLND - Unsupervised Learning - L3 2 Gaussian Mixture Model Clustering MAIN V1 V2-Y_methsXoFA.zh-CN.vtt
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03. Gaussian Distribution in One Dimension.html
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03. MLND - Unsupervised Learning - L3 3 Gaussian Distribution In 1D MAINv1 V1-uDPFrZwsKKQ.en.vtt
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03. MLND - Unsupervised Learning - L3 3 Gaussian Distribution In 1D MAINv1 V1-uDPFrZwsKKQ.mp4
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03. MLND - Unsupervised Learning - L3 3 Gaussian Distribution In 1D MAINv1 V1-uDPFrZwsKKQ.pt-BR.vtt
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03. MLND - Unsupervised Learning - L3 3 Gaussian Distribution In 1D MAINv1 V1-uDPFrZwsKKQ.zh-CN.vtt
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04. GMM Clustering in One Dimension.html
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04. MLND - Unsupervised Learning - L3 04 GMM Clustering In 1D MAIN V1 V1-JkRQIGqkqA4.en.vtt
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04. MLND - Unsupervised Learning - L3 04 GMM Clustering In 1D MAIN V1 V1-JkRQIGqkqA4.mp4
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04. MLND - Unsupervised Learning - L3 04 GMM Clustering In 1D MAIN V1 V1-JkRQIGqkqA4.pt-BR.vtt
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04. MLND - Unsupervised Learning - L3 04 GMM Clustering In 1D MAIN V1 V1-JkRQIGqkqA4.zh-CN.vtt
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05. Gaussian Distribution in 2D.html
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05. MLND - Unsupervised Learning - L3 05 Gaussian Distribution In 2D MAIN V1 V2-Ne-qRjO38qQ.en.vtt
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05. MLND - Unsupervised Learning - L3 05 Gaussian Distribution In 2D MAIN V1 V2-Ne-qRjO38qQ.mp4
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05. MLND - Unsupervised Learning - L3 05 Gaussian Distribution In 2D MAIN V1 V2-Ne-qRjO38qQ.pt-BR.vtt
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05. MLND - Unsupervised Learning - L3 05 Gaussian Distribution In 2D MAIN V1 V2-Ne-qRjO38qQ.zh-CN.vtt
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06. GMM in 2D.html
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06. MLND - Unsupervised Learning - L3 06 GMM In 2D MAIN Sfx V1 V1-GsNWVHmRRG4.en.vtt
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06. MLND - Unsupervised Learning - L3 06 GMM In 2D MAIN Sfx V1 V1-GsNWVHmRRG4.mp4
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06. MLND - Unsupervised Learning - L3 06 GMM In 2D MAIN Sfx V1 V1-GsNWVHmRRG4.pt-BR.vtt
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06. MLND - Unsupervised Learning - L3 06 GMM In 2D MAIN Sfx V1 V1-GsNWVHmRRG4.zh-CN.vtt
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07. Quiz Gaussian Mixtures.html
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08. MLND - Unsupervised Learning - L3 08 Overview Of The Expectation Maximization Algorithm MAIN V1 V1-XdQfFnnj5Xo.en.vtt
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08. MLND - Unsupervised Learning - L3 08 Overview Of The Expectation Maximization Algorithm MAIN V1 V1-XdQfFnnj5Xo.mp4
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08. MLND - Unsupervised Learning - L3 08 Overview Of The Expectation Maximization Algorithm MAIN V1 V1-XdQfFnnj5Xo.zh-CN.vtt
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08. Overview of The Expectation Maximization (EM) Algorithm.html
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09. Expectation Maximization Part 1.html
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09. MLND - Unsupervised Learning - L3 09 Expectation Maximization Pt 1 V1 MAIN 1 V2-cf-RLKn5ubA.en.vtt
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09. MLND - Unsupervised Learning - L3 09 Expectation Maximization Pt 1 V1 MAIN 1 V2-cf-RLKn5ubA.mp4
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09. MLND - Unsupervised Learning - L3 09 Expectation Maximization Pt 1 V1 MAIN 1 V2-cf-RLKn5ubA.zh-CN.vtt
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10. Expectation Maximization Part 2.html
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10. MLND - Unsupervised Learning - L3 10 Expectation Maximization Pt 2 MAIN V1 V2-B_xXd0mFUm4.en.vtt
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10. MLND - Unsupervised Learning - L3 10 Expectation Maximization Pt 2 MAIN V1 V2-B_xXd0mFUm4.mp4
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11. MLND - Unsupervised Learning - L3 11 Visual Example Of EM Progress MAIN V1 V1-9x3d_eVJrJE.en.vtt
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11. MLND - Unsupervised Learning - L3 11 Visual Example Of EM Progress MAIN V1 V1-9x3d_eVJrJE.mp4
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11. MLND - Unsupervised Learning - L3 11 Visual Example Of EM Progress MAIN V1 V1-9x3d_eVJrJE.pt-BR.vtt
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11. MLND - Unsupervised Learning - L3 11 Visual Example Of EM Progress MAIN V1 V1-9x3d_eVJrJE.zh-CN.vtt
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11. Visual Example of EM Progress.html
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12. Quiz Expectation Maximization.html
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13. GMM Implementation.html
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13. MLND - Unsupervised Learning - L3 13 GMM Implementation MAIN V1 V2-zWrC_2Npy9E.en.vtt
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13. MLND - Unsupervised Learning - L3 13 GMM Implementation MAIN V1 V2-zWrC_2Npy9E.mp4
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2.98 MB
13. MLND - Unsupervised Learning - L3 13 GMM Implementation MAIN V1 V2-zWrC_2Npy9E.pt-BR.vtt
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694 B
13. MLND - Unsupervised Learning - L3 13 GMM Implementation MAIN V1 V2-zWrC_2Npy9E.zh-CN.vtt
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561 B
14. GMM Examples & Applications.html
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8.45 KB
14. MLND - Unsupervised Learning - L3 15 GMM Examples And Applications MAIN V2 V1-FRoxeLp81Bg.en.vtt
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6.5 KB
14. MLND - Unsupervised Learning - L3 15 GMM Examples And Applications MAIN V2 V1-FRoxeLp81Bg.mp4
MP4
31.64 MB
14. MLND - Unsupervised Learning - L3 15 GMM Examples And Applications MAIN V2 V1-FRoxeLp81Bg.pt-BR.vtt
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6.43 KB
14. MLND - Unsupervised Learning - L3 15 GMM Examples And Applications MAIN V2 V1-FRoxeLp81Bg.zh-CN.vtt
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5.62 KB
15. Cluster Analysis Process.html
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7.5 KB
15. MLND - Unsupervised Learning - L3 16 Cluster Analysis Process MAIN V1 V1-aI2wW4fcU1I.en.vtt
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4.27 KB
15. MLND - Unsupervised Learning - L3 16 Cluster Analysis Process MAIN V1 V1-aI2wW4fcU1I.mp4
MP4
11.7 MB
15. MLND - Unsupervised Learning - L3 16 Cluster Analysis Process MAIN V1 V1-aI2wW4fcU1I.pt-BR.vtt
VTT
4.37 KB
15. MLND - Unsupervised Learning - L3 16 Cluster Analysis Process MAIN V1 V1-aI2wW4fcU1I.zh-CN.vtt
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3.71 KB
16. Cluster Validation.html
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7.45 KB
16. MLND - Unsupervised Learning - L3 17 Cluster Validation MAINv1 V1-N13ML_GUuZQ.en.vtt
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2.12 KB
16. MLND - Unsupervised Learning - L3 17 Cluster Validation MAINv1 V1-N13ML_GUuZQ.mp4
MP4
5.85 MB
16. MLND - Unsupervised Learning - L3 17 Cluster Validation MAINv1 V1-N13ML_GUuZQ.pt-BR.vtt
VTT
2.28 KB
16. MLND - Unsupervised Learning - L3 17 Cluster Validation MAINv1 V1-N13ML_GUuZQ.zh-CN.vtt
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1.76 KB
17. External Validation Indices.html
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7.74 KB
17. MLND - Unsupervised Learning - L3 18 External Validation Indices MAIN V1 V2-rXZM5X2-5D0.en.vtt
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6.29 KB
17. MLND - Unsupervised Learning - L3 18 External Validation Indices MAIN V1 V2-rXZM5X2-5D0.mp4
MP4
23.18 MB
17. MLND - Unsupervised Learning - L3 18 External Validation Indices MAIN V1 V2-rXZM5X2-5D0.pt-BR.vtt
VTT
5.84 KB
17. MLND - Unsupervised Learning - L3 18 External Validation Indices MAIN V1 V2-rXZM5X2-5D0.zh-CN.vtt
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5.35 KB
18. Quiz Adjusted Rand Index.html
HTML
7.92 KB
19. Internal Validation Indices.html
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7.81 KB
19. MLND - Unsupervised Learning - L3 20 Internal Validation Indices MAIN V1 V2-39JruOTptKI.en.vtt
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10.24 KB
19. MLND - Unsupervised Learning - L3 20 Internal Validation Indices MAIN V1 V2-39JruOTptKI.mp4
MP4
40.74 MB
19. MLND - Unsupervised Learning - L3 20 Internal Validation Indices MAIN V1 V2-39JruOTptKI.pt-BR.vtt
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9.62 KB
19. MLND - Unsupervised Learning - L3 20 Internal Validation Indices MAIN V1 V2-39JruOTptKI.zh-CN.vtt
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9.04 KB
20. Quiz Silhouette Coefficient .html
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7.42 KB
21. GMM & Cluster Validation Lab.html
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7.66 KB
22. GMM & Cluster Validation Lab Solution.html
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7.68 KB
img
external-indices-quiz.png
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96.46 KB
gmm-1d-quiz.png
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26.76 KB
gmm-2d-quiz.png
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gmm-quiz.png
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index.html
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5.55 KB
Part 04-Module 03-Lesson 01_Feature Scaling
01. Chris's T-Shirt Size (Intuition)-l6YXxmCNtHk.ar.vtt
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512 B
01. Chris's T-Shirt Size (Intuition)-l6YXxmCNtHk.en.vtt
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419 B
01. Chris's T-Shirt Size (Intuition)-l6YXxmCNtHk.mp4
MP4
1.19 MB
01. Chris's T-Shirt Size (Intuition)-l6YXxmCNtHk.pt-BR.vtt
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421 B
01. Chris's T-Shirt Size (Intuition)-l6YXxmCNtHk.zh-CN.vtt
VTT
335 B
01. Chris's T-Shirt Size (Intuition)-oaqjLyiKOIA.ar.vtt
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3.03 KB
01. Chris's T-Shirt Size (Intuition)-oaqjLyiKOIA.en.vtt
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2.28 KB
01. Chris's T-Shirt Size (Intuition)-oaqjLyiKOIA.mp4
MP4
6.64 MB
01. Chris's T-Shirt Size (Intuition)-oaqjLyiKOIA.pt-BR.vtt
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2.41 KB
01. Chris's T-Shirt Size (Intuition)-oaqjLyiKOIA.zh-CN.vtt
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1.94 KB
01. Chris's T-Shirt Size (Intuition).html
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7.81 KB
02. A Metric for Chris-O0bvLU4l0is.ar.vtt
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976 B
02. A Metric for Chris-O0bvLU4l0is.en.vtt
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820 B
02. A Metric for Chris-O0bvLU4l0is.mp4
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3.98 MB
02. A Metric for Chris-O0bvLU4l0is.pt-BR.vtt
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893 B
02. A Metric for Chris-O0bvLU4l0is.zh-CN.vtt
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733 B
02. A Metric for Chris-Thj7e55iSlA.ar.vtt
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226 B
02. A Metric for Chris-Thj7e55iSlA.en.vtt
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140 B
02. A Metric for Chris-Thj7e55iSlA.mp4
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853.58 KB
02. A Metric for Chris-Thj7e55iSlA.pt-BR.vtt
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143 B
02. A Metric for Chris.html
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7.29 KB
03. Height + Weight for Cameron--dT9dztM-Lc.ar.vtt
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171 B
03. Height + Weight for Cameron--dT9dztM-Lc.en.vtt
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141 B
03. Height + Weight for Cameron--dT9dztM-Lc.mp4
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1.04 MB
03. Height + Weight for Cameron--dT9dztM-Lc.pt-BR.vtt
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164 B
03. Height + Weight for Cameron-MetxO9LDp-I.ar.vtt
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282 B
03. Height + Weight for Cameron-MetxO9LDp-I.en.vtt
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214 B
03. Height + Weight for Cameron-MetxO9LDp-I.mp4
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483.93 KB
03. Height + Weight for Cameron-MetxO9LDp-I.pt-BR.vtt
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230 B
03. Height + Weight for Cameron-MetxO9LDp-I.zh-CN.vtt
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222 B
03. Height + Weight for Cameron.html
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7.39 KB
04. Sarah's Height + Weight-OdsfV143AMc.ar.vtt
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204 B
04. Sarah's Height + Weight-OdsfV143AMc.en.vtt
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164 B
04. Sarah's Height + Weight-OdsfV143AMc.mp4
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282.39 KB
04. Sarah's Height + Weight-OdsfV143AMc.pt-BR.vtt
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180 B
04. Sarah's Height + Weight-OdsfV143AMc.zh-CN.vtt
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166 B
04. Sarah's Height + Weight-p5p3OLARpmA.ar.vtt
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118 B
04. Sarah's Height + Weight-p5p3OLARpmA.en.vtt
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104 B
04. Sarah's Height + Weight-p5p3OLARpmA.mp4
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422.6 KB
04. Sarah's Height + Weight-p5p3OLARpmA.pt-BR.vtt
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105 B
04. Sarah's Height + Weight-p5p3OLARpmA.zh-CN.vtt
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107 B
04. Sarah's Height + Weight.html
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7.52 KB
05. Chris's Shirt Size by Our Metric-e83ZS4VqGZ0.ar.vtt
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561 B
05. Chris's Shirt Size by Our Metric-e83ZS4VqGZ0.en.vtt
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399 B
05. Chris's Shirt Size by Our Metric-e83ZS4VqGZ0.mp4
MP4
1.28 MB
05. Chris's Shirt Size by Our Metric-e83ZS4VqGZ0.pt-BR.vtt
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426 B
05. Chris's Shirt Size by Our Metric-e83ZS4VqGZ0.zh-CN.vtt
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369 B
05. Chris's Shirt Size by Our Metric-oWyt6md7P44.ar.vtt
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697 B
05. Chris's Shirt Size by Our Metric-oWyt6md7P44.en.vtt
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483 B
05. Chris's Shirt Size by Our Metric-oWyt6md7P44.mp4
MP4
1.46 MB
05. Chris's Shirt Size by Our Metric-oWyt6md7P44.pt-BR.vtt
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518 B
05. Chris's Shirt Size by Our Metric-oWyt6md7P44.zh-CN.vtt
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425 B
05. Chris's Shirt Size by Our Metric.html
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7.81 KB
06. Comparing Features with Different Scales-PRL8trOU7Rs.ar.vtt
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4.36 KB
06. Comparing Features with Different Scales-PRL8trOU7Rs.en.vtt
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3.04 KB
06. Comparing Features with Different Scales-PRL8trOU7Rs.mp4
MP4
11.52 MB
06. Comparing Features with Different Scales-PRL8trOU7Rs.pt-BR.vtt
VTT
3.12 KB
06. Comparing Features with Different Scales-PRL8trOU7Rs.zh-CN.vtt
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2.55 KB
06. Comparing Features with Different Scales.html
HTML
6.34 KB
07. Feature Scaling Formula Quiz 1-jOxS1eJRsOk.ar.vtt
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1.63 KB
07. Feature Scaling Formula Quiz 1-jOxS1eJRsOk.en.vtt
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1.18 KB
07. Feature Scaling Formula Quiz 1-jOxS1eJRsOk.mp4
MP4
3.37 MB
07. Feature Scaling Formula Quiz 1-jOxS1eJRsOk.pt-BR.vtt
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1.2 KB
07. Feature Scaling Formula Quiz 1-jOxS1eJRsOk.zh-CN.vtt
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1.04 KB
07. Feature Scaling Formula Quiz 1-sPqs7DoBkXQ.ar.vtt
VTT
284 B
07. Feature Scaling Formula Quiz 1-sPqs7DoBkXQ.en.vtt
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208 B
07. Feature Scaling Formula Quiz 1-sPqs7DoBkXQ.mp4
MP4
546.12 KB
07. Feature Scaling Formula Quiz 1-sPqs7DoBkXQ.pt-BR.vtt
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186 B
07. Feature Scaling Formula Quiz 1-sPqs7DoBkXQ.zh-CN.vtt
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166 B
07. Feature Scaling Formula Quiz 1.html
HTML
7.58 KB
08. Feature Scaling Formula Quiz 2-J6RyUyWxrM4.ar.vtt
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306 B
08. Feature Scaling Formula Quiz 2-J6RyUyWxrM4.en.vtt
VTT
229 B
08. Feature Scaling Formula Quiz 2-J6RyUyWxrM4.mp4
MP4
188.86 KB
08. Feature Scaling Formula Quiz 2-J6RyUyWxrM4.pt-BR.vtt
VTT
233 B
08. Feature Scaling Formula Quiz 2-J6RyUyWxrM4.zh-CN.vtt
VTT
165 B
08. Feature Scaling Formula Quiz 2-vmIK4jpUtNo.ar.vtt
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140 B
08. Feature Scaling Formula Quiz 2-vmIK4jpUtNo.en.vtt
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108 B
08. Feature Scaling Formula Quiz 2-vmIK4jpUtNo.mp4
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189.32 KB
08. Feature Scaling Formula Quiz 2-vmIK4jpUtNo.pt-BR.vtt
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124 B
08. Feature Scaling Formula Quiz 2-vmIK4jpUtNo.zh-CN.vtt
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125 B
08. Feature Scaling Formula Quiz 2.html
HTML
7.58 KB
09. Feature Scaling Formula Quiz 3-bY2fuRkH3iw.ar.vtt
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1.92 KB
09. Feature Scaling Formula Quiz 3-bY2fuRkH3iw.en.vtt
VTT
1.42 KB
09. Feature Scaling Formula Quiz 3-bY2fuRkH3iw.mp4
MP4
3.28 MB
09. Feature Scaling Formula Quiz 3-bY2fuRkH3iw.pt-BR.vtt
VTT
1.47 KB
09. Feature Scaling Formula Quiz 3-bY2fuRkH3iw.zh-CN.vtt
VTT
1.14 KB
09. Feature Scaling Formula Quiz 3-iY_sO4d23gY.ar.vtt
VTT
842 B
09. Feature Scaling Formula Quiz 3-iY_sO4d23gY.en.vtt
VTT
600 B
09. Feature Scaling Formula Quiz 3-iY_sO4d23gY.mp4
MP4
2.46 MB
09. Feature Scaling Formula Quiz 3-iY_sO4d23gY.pt-BR.vtt
VTT
683 B
09. Feature Scaling Formula Quiz 3-iY_sO4d23gY.zh-CN.vtt
VTT
507 B
09. Feature Scaling Formula Quiz 3.html
HTML
7.82 KB
10. MinMax Rescaler Coding Quiz-ePXAzoGVviM.ar.vtt
VTT
1.1 KB
10. MinMax Rescaler Coding Quiz-ePXAzoGVviM.en.vtt
VTT
828 B
10. MinMax Rescaler Coding Quiz-ePXAzoGVviM.mp4
MP4
1.58 MB
10. MinMax Rescaler Coding Quiz-ePXAzoGVviM.pt-BR.vtt
VTT
891 B
10. MinMax Rescaler Coding Quiz-ePXAzoGVviM.zh-CN.vtt
VTT
668 B
10. MinMax Rescaler Coding Quiz-xTEkF0voyoM.ar.vtt
VTT
624 B
10. MinMax Rescaler Coding Quiz-xTEkF0voyoM.en.vtt
VTT
418 B
10. MinMax Rescaler Coding Quiz-xTEkF0voyoM.mp4
MP4
745.32 KB
10. MinMax Rescaler Coding Quiz-xTEkF0voyoM.pt-BR.vtt
VTT
454 B
10. MinMax Rescaler Coding Quiz-xTEkF0voyoM.zh-CN.vtt
VTT
396 B
10. MinMax Rescaler Coding Quiz.html
HTML
8.76 KB
11. MinMax Scaler in sklearn-lgoh5R05YM0.ar.vtt
VTT
7.96 KB
11. MinMax Scaler in sklearn-lgoh5R05YM0.en.vtt
VTT
6.09 KB
11. MinMax Scaler in sklearn-lgoh5R05YM0.mp4
MP4
14.9 MB
11. MinMax Scaler in sklearn-lgoh5R05YM0.pt-BR.vtt
VTT
5.62 KB
11. MinMax Scaler in sklearn-lgoh5R05YM0.zh-CN.vtt
VTT
5.41 KB
11. MinMax Scaler in sklearn.html
HTML
6.22 KB
12. Quiz on Algorithms Requiring Rescaling-ntRkOeSZutw.ar.vtt
VTT
1.73 KB
12. Quiz on Algorithms Requiring Rescaling-ntRkOeSZutw.en.vtt
VTT
1.32 KB
12. Quiz on Algorithms Requiring Rescaling-ntRkOeSZutw.mp4
MP4
2.51 MB
12. Quiz on Algorithms Requiring Rescaling-ntRkOeSZutw.pt-BR.vtt
VTT
1.38 KB
12. Quiz on Algorithms Requiring Rescaling-ntRkOeSZutw.zh-CN.vtt
VTT
1.1 KB
12. Quiz on Algorithms Requiring Rescaling-oEhevl5DWpk.ar.vtt
VTT
4.8 KB
12. Quiz on Algorithms Requiring Rescaling-oEhevl5DWpk.en.vtt
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3.85 KB
12. Quiz on Algorithms Requiring Rescaling-oEhevl5DWpk.mp4
MP4
12.12 MB
12. Quiz on Algorithms Requiring Rescaling-oEhevl5DWpk.pt-BR.vtt
VTT
3.82 KB
12. Quiz on Algorithms Requiring Rescaling-oEhevl5DWpk.zh-CN.vtt
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3.13 KB
12. Quiz on Algorithms Requiring Rescaling.html
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8.54 KB
img
2949288751.gif
GIF
328.96 KB
2967238555.gif
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256.98 KB
2981618588.gif
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index.html
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4.6 KB
Part 04-Module 04-Lesson 01_PCA
01. Data Dimensionality-bAZJT4xHiXM.ar.vtt
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357 B
01. Data Dimensionality-bAZJT4xHiXM.en.vtt
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273 B
01. Data Dimensionality-bAZJT4xHiXM.mp4
MP4
556.61 KB
01. Data Dimensionality-bAZJT4xHiXM.pt-BR.vtt
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302 B
01. Data Dimensionality-bAZJT4xHiXM.zh-CN.vtt
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232 B
01. Data Dimensionality-gg7SAMMl4kM.ar.vtt
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1.57 KB
01. Data Dimensionality-gg7SAMMl4kM.en.vtt
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1.2 KB
01. Data Dimensionality-gg7SAMMl4kM.mp4
MP4
5.75 MB
01. Data Dimensionality-gg7SAMMl4kM.pt-BR.vtt
VTT
1.27 KB
01. Data Dimensionality-gg7SAMMl4kM.zh-CN.vtt
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1.05 KB
01. Data Dimensionality.html
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9.72 KB
02. Trickier Data Dimensionality--dcNhrSPmoY.ar.vtt
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168 B
02. Trickier Data Dimensionality--dcNhrSPmoY.en.vtt
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138 B
02. Trickier Data Dimensionality--dcNhrSPmoY.mp4
MP4
473.01 KB
02. Trickier Data Dimensionality--dcNhrSPmoY.pt-BR.vtt
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171 B
02. Trickier Data Dimensionality--dcNhrSPmoY.zh-CN.vtt
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125 B
02. Trickier Data Dimensionality-s24-ikl3ZAs.ar.vtt
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505 B
02. Trickier Data Dimensionality-s24-ikl3ZAs.en.vtt
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395 B
02. Trickier Data Dimensionality-s24-ikl3ZAs.mp4
MP4
1.31 MB
02. Trickier Data Dimensionality-s24-ikl3ZAs.pt-BR.vtt
VTT
410 B
02. Trickier Data Dimensionality-s24-ikl3ZAs.zh-CN.vtt
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361 B
02. Trickier Data Dimensionality.html
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9.83 KB
03. One-Dimensional, or Two-QsncWsyboFk.ar.vtt
VTT
360 B
03. One-Dimensional, or Two-QsncWsyboFk.en.vtt
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292 B
03. One-Dimensional, or Two-QsncWsyboFk.mp4
MP4
1.05 MB
03. One-Dimensional, or Two-QsncWsyboFk.pt-BR.vtt
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292 B
03. One-Dimensional, or Two-QsncWsyboFk.zh-CN.vtt
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277 B
03. One-Dimensional, or Two-yhzQ_HJcwn8.ar.vtt
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1.25 KB
03. One-Dimensional, or Two-yhzQ_HJcwn8.en.vtt
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879 B
03. One-Dimensional, or Two-yhzQ_HJcwn8.mp4
MP4
4.18 MB
03. One-Dimensional, or Two-yhzQ_HJcwn8.pt-BR.vtt
VTT
928 B
03. One-Dimensional, or Two-yhzQ_HJcwn8.zh-CN.vtt
VTT
810 B
03. One-Dimensional, or Two.html
HTML
9.77 KB
04. Slightly Less Perfect Data-9O7cJSP4C8w.ar.vtt
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1016 B
04. Slightly Less Perfect Data-9O7cJSP4C8w.en.vtt
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747 B
04. Slightly Less Perfect Data-9O7cJSP4C8w.mp4
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3.85 MB
04. Slightly Less Perfect Data-9O7cJSP4C8w.pt-BR.vtt
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737 B
04. Slightly Less Perfect Data-9O7cJSP4C8w.zh-CN.vtt
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677 B
04. Slightly Less Perfect Data-g5yfjKWIKN4.ar.vtt
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425 B
04. Slightly Less Perfect Data-g5yfjKWIKN4.en.vtt
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325 B
04. Slightly Less Perfect Data-g5yfjKWIKN4.mp4
MP4
1.37 MB
04. Slightly Less Perfect Data-g5yfjKWIKN4.pt-BR.vtt
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331 B
04. Slightly Less Perfect Data-g5yfjKWIKN4.zh-CN.vtt
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316 B
04. Slightly Less Perfect Data.html
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9.81 KB
05. Trickiest Data Dimensionality-mTcuS5jUeUE.ar.vtt
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1.75 KB
05. Trickiest Data Dimensionality-mTcuS5jUeUE.en.vtt
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1.43 KB
05. Trickiest Data Dimensionality-mTcuS5jUeUE.mp4
MP4
7.02 MB
05. Trickiest Data Dimensionality-mTcuS5jUeUE.pt-BR.vtt
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1.48 KB
05. Trickiest Data Dimensionality-mTcuS5jUeUE.zh-CN.vtt
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1.21 KB
05. Trickiest Data Dimensionality-vIxDt0bNV9g.ar.vtt
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425 B
05. Trickiest Data Dimensionality-vIxDt0bNV9g.en.vtt
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325 B
05. Trickiest Data Dimensionality-vIxDt0bNV9g.mp4
MP4
1.39 MB
05. Trickiest Data Dimensionality-vIxDt0bNV9g.pt-BR.vtt
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362 B
05. Trickiest Data Dimensionality-vIxDt0bNV9g.zh-CN.vtt
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305 B
05. Trickiest Data Dimensionality.html
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9.84 KB
06. PCA for Data Transformation-nDuo5ECT1G4.ar.vtt
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2.14 KB
06. PCA for Data Transformation-nDuo5ECT1G4.en.vtt
VTT
1.55 KB
06. PCA for Data Transformation-nDuo5ECT1G4.mp4
MP4
7.86 MB
06. PCA for Data Transformation-nDuo5ECT1G4.pt-BR.vtt
VTT
1.54 KB
06. PCA for Data Transformation-nDuo5ECT1G4.zh-CN.vtt
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1.28 KB
06. PCA for Data Transformation.html
HTML
8.37 KB
07. Center of a New Coordinate System-1ask5zHGQKM.ar.vtt
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393 B
07. Center of a New Coordinate System-1ask5zHGQKM.en.vtt
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298 B
07. Center of a New Coordinate System-1ask5zHGQKM.mp4
MP4
1.81 MB
07. Center of a New Coordinate System-1ask5zHGQKM.pt-BR.vtt
VTT
271 B
07. Center of a New Coordinate System-1ask5zHGQKM.zh-CN.vtt
VTT
245 B
07. Center of a New Coordinate System-Kst3mlrqJnQ.ar.vtt
VTT
1.32 KB
07. Center of a New Coordinate System-Kst3mlrqJnQ.en.vtt
VTT
943 B
07. Center of a New Coordinate System-Kst3mlrqJnQ.mp4
MP4
4.68 MB
07. Center of a New Coordinate System-Kst3mlrqJnQ.pt-BR.vtt
VTT
954 B
07. Center of a New Coordinate System-Kst3mlrqJnQ.zh-CN.vtt
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806 B
07. Center of a New Coordinate System.html
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9.97 KB
08. Principal Axis of New Coordinate System-i6zv8vyZBk0.ar.vtt
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1016 B
08. Principal Axis of New Coordinate System-i6zv8vyZBk0.en.vtt
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775 B
08. Principal Axis of New Coordinate System-i6zv8vyZBk0.mp4
MP4
3.15 MB
08. Principal Axis of New Coordinate System-i6zv8vyZBk0.pt-BR.vtt
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736 B
08. Principal Axis of New Coordinate System-i6zv8vyZBk0.zh-CN.vtt
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10. Practice Finding Centers-FZVBF1HR4U0.ar.vtt
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12. Which Data is Ready for PCA-JSVsHbGUuIE.ar.vtt
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13. When Does an Axis Dominate-4hJlaYRHdpA.ar.vtt
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14. Measurable vs. Latent Features Quiz-20QVVrTcp2A.ar.vtt
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17. Composite Features-0ZBp8oWySAc.ar.vtt
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18. Maximal Variance-FpQm_dYA9LM.ar.vtt
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18. Maximal Variance.html
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19. Advantages of Maximal Variance-TbT6a6qaj08.ar.vtt
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20. Maximal Variance and Information Loss-DX_f02bUHT0.ar.vtt
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21. Info Loss and Principal Components-LTPV8lxQeZQ.ar.vtt
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22. Neighborhood Composite Feature-WxAWorS2SLg.ar.vtt
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23. PCA for Feature Transformation-8kUPRUEMCA8.ar.vtt
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23. PCA for Feature Transformation.html
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24. Maximum Number of PCs Quiz-oOUx6NHppdQ.ar.vtt
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25. ReviewDefinition of PCA-oFBGXUUuKyI.ar.vtt
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25. ReviewDefinition of PCA.html
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26. Applying PCA to Real Data.html
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27. PCA on the Enron Finance Data-6ufIq2nrTwg.ar.vtt
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28. PCA in sklearn-SBYdqlLgbGk.ar.vtt
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28. PCA in sklearn.html
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29. When to Use PCA-hJZHcmJBk1o.ar.vtt
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29. When to Use PCA.html
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30. PCA for Facial Recognition-B_JKtLN-i5I.ar.vtt
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31. Eigenfaces Code-LgLYw-G4sLQ.ar.vtt
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31. Eigenfaces Code.html
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img
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Part 04-Module 05-Lesson 01_PCA Mini-Project
01. PCA Mini-Project.html
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index.html
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Part 04-Module 06-Lesson 01_Random Projection and ICA
01. L6 1 Random Projection MAIN V1 V1 V1-Iat1a8mzI-Y.en.vtt
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04. Independent Component Analysis (ICA).html
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05. FastICA Algorithm.html
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05. L6 4 ICA Algorithm V2 V1-xlhd5UWk_-E.en.vtt
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05. L6 4 ICA Algorithm V2 V1-xlhd5UWk_-E.mp4
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7.96 MB
05. L6 4 ICA Algorithm V2 V1-xlhd5UWk_-E.pt-BR.vtt
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06. ICA.html
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7.03 KB
07. ICA in sklearn.html
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5.58 KB
07. L6 5 ICA Implementation V1 V1-fZGxYfJmKaE.en.vtt
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07. L6 5 ICA Implementation V1 V1-fZGxYfJmKaE.mp4
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1.04 MB
07. L6 5 ICA Implementation V1 V1-fZGxYfJmKaE.pt-BR.vtt
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955 B
08. [Lab] Independent Component Analysis.html
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6.11 KB
09. [Solution] Independent Component Analysis.html
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6.12 KB
10. ICA Applications.html
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6.72 KB
10. L6 6 ICA Applications MAIN V1 V1 V1-th12mTv1B7g.en.vtt
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4.16 KB
10. L6 6 ICA Applications MAIN V1 V1 V1-th12mTv1B7g.mp4
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9.87 MB
10. L6 6 ICA Applications MAIN V1 V1 V1-th12mTv1B7g.pt-BR.vtt
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img
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index.html
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Part 04-Module 07-Lesson 01_Unsupervised Learning Assessment
01. Assessment.html
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9.06 KB
index.html
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3.49 KB
Part 04-Module 08-Lesson 01_Creating Customer Segments
01. Overview.html
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6.9 KB
02. Software Requirements.html
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6.84 KB
03. Starting the project.html
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6.59 KB
04. Submitting the project.html
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6.72 KB
05. Uploading to Workspace.html
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6.51 KB
06. Workspace.html
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5.85 KB
Project Description - Creating Customer Segments.html
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Project Rubric - Creating Customer Segments.html
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img
step-0.png
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step-2-file-upload.png
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step1-file-upload.png
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index.html
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Part 05-Module 01-Lesson 01_Neural Networks
01. Announcement.html
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7.64 KB
02. Introduction-tn-CrUTkCUc.en.vtt
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02. Introduction-tn-CrUTkCUc.mp4
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7.54 MB
02. Introduction-tn-CrUTkCUc.pt-BR.vtt
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3.09 KB
02. Introduction-tn-CrUTkCUc.zh-CN.vtt
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2.84 KB
02. Introduction.html
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7.49 KB
03. Classification Problems 1.html
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8.73 KB
03. Classsification Example-Dh625piH7Z0.en.vtt
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03. Classsification Example-Dh625piH7Z0.mp4
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03. Classsification Example-Dh625piH7Z0.pt-BR.vtt
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03. Classsification Example-Dh625piH7Z0.zh-CN.vtt
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04. Classification Example-46PywnGa_cQ.en.vtt
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04. Classification Example-46PywnGa_cQ.mp4
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1.62 MB
04. Classification Example-46PywnGa_cQ.pt-BR.vtt
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04. Classification Example-46PywnGa_cQ.zh-CN.vtt
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04. Classification Problems 2.html
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7.56 KB
05. Linear Boundaries-X-uMlsBi07k.en.vtt
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05. Linear Boundaries-X-uMlsBi07k.mp4
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3.85 MB
05. Linear Boundaries-X-uMlsBi07k.pt-BR.vtt
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05. Linear Boundaries-X-uMlsBi07k.zh-CN.vtt
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3.36 KB
05. Linear Boundaries.html
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06. 09 Higher Dimensions-eBHunImDmWw.en.vtt
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06. 09 Higher Dimensions-eBHunImDmWw.mp4
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2.59 MB
06. 09 Higher Dimensions-eBHunImDmWw.pt-BR.vtt
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06. 09 Higher Dimensions-eBHunImDmWw.zh-CN.vtt
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06. Higher Dimensions.html
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07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.en.vtt
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07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.mp4
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07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.pt-BR.vtt
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07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.zh-CN.vtt
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07. Perceptrons.html
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08. AND And OR Perceptrons-45K5N0P9wJk.en.vtt
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08. AND And OR Perceptrons-45K5N0P9wJk.mp4
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2.68 MB
08. AND And OR Perceptrons-45K5N0P9wJk.pt-BR.vtt
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08. AND And OR Perceptrons-45K5N0P9wJk.zh-CN.vtt
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08. Perceptrons as Logical Operators.html
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19.18 KB
08. XOR Perceptron-TF83GfjYLdw.en.vtt
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08. XOR Perceptron-TF83GfjYLdw.mp4
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08. XOR Perceptron-TF83GfjYLdw.pt-BR.vtt
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08. XOR Perceptron-TF83GfjYLdw.zh-CN.vtt
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09. Why Neural Networks-zAkzOZntK6Y.en.vtt
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09. Why Neural Networks-zAkzOZntK6Y.mp4
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09. Why Neural Networks-zAkzOZntK6Y.pt-BR.vtt
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09. Why Neural Networks-zAkzOZntK6Y.zh-CN.vtt
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09. Why Neural Networks.html
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7.55 KB
10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.en.vtt
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10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.mp4
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3.66 MB
10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.pt-BR.vtt
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4.17 KB
10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.zh-CN.vtt
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10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.en.vtt
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420 B
10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.mp4
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10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.pt-BR.vtt
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10. Perceptron Algorithm--zhTROHtscQ.en.vtt
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10. Perceptron Algorithm--zhTROHtscQ.mp4
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1.92 MB
10. Perceptron Algorithm--zhTROHtscQ.pt-BR.vtt
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10. Perceptron Algorithm--zhTROHtscQ.zh-CN.vtt
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10. Perceptron Trick.html
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11.31 KB
11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.en.vtt
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11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.mp4
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2.87 MB
11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.pt-BR.vtt
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3.27 KB
11. Perceptron Algorithm.html
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14.99 KB
12. Non-Linear Regions-B8UrWnHh1Wc.en.vtt
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12. Non-Linear Regions-B8UrWnHh1Wc.mp4
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1.33 MB
12. Non-Linear Regions-B8UrWnHh1Wc.pt-BR.vtt
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1.51 KB
12. Non-Linear Regions-B8UrWnHh1Wc.zh-CN.vtt
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12. Non-Linear Regions.html
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13. Error Functions-YfUUunxWIJw.en.vtt
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790 B
13. Error Functions-YfUUunxWIJw.mp4
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3.54 MB
13. Error Functions-YfUUunxWIJw.pt-BR.vtt
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804 B
13. Error Functions-YfUUunxWIJw.zh-CN.vtt
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13. Error Functions.html
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14. Error Functions-jfKShxGAbok.en.vtt
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14. Error Functions-jfKShxGAbok.mp4
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14. Error Functions-jfKShxGAbok.pt-BR.vtt
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14. Error Functions-jfKShxGAbok.zh-CN.vtt
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14. Log-loss Error Function.html
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15. Discrete vs Continuous-rdP-RPDFkl0.en.vtt
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551 B
15. Discrete vs Continuous-rdP-RPDFkl0.mp4
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15. Discrete vs Continuous-rdP-RPDFkl0.pt-BR.vtt
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15. Discrete vs Continuous-rdP-RPDFkl0.zh-CN.vtt
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481 B
15. Discrete vs Continuous.html
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9.78 KB
15. Discrete vs. Continuous-Rm2KxFaPiJg.en.vtt
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15. Discrete vs. Continuous-Rm2KxFaPiJg.mp4
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15. Discrete vs. Continuous-Rm2KxFaPiJg.pt-BR.vtt
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15. Discrete vs. Continuous-Rm2KxFaPiJg.zh-CN.vtt
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16. DL 18 Q Softmax V2-RC_A9Tu99y4.en.vtt
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16. DL 18 Q Softmax V2-RC_A9Tu99y4.mp4
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4.01 MB
16. DL 18 Q Softmax V2-RC_A9Tu99y4.pt-BR.vtt
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16. DL 18 Q Softmax V2-RC_A9Tu99y4.zh-CN.vtt
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16. DL 18 S Softmax-n8S-v_LCTms.en.vtt
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16. DL 18 S Softmax-n8S-v_LCTms.mp4
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16. DL 18 S Softmax-n8S-v_LCTms.pt-BR.vtt
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16. DL 18 S Softmax-n8S-v_LCTms.zh-CN.vtt
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16. Quiz - Softmax-NNoezNnAMTY.en.vtt
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495 B
16. Quiz - Softmax-NNoezNnAMTY.mp4
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1.73 MB
16. Quiz - Softmax-NNoezNnAMTY.pt-BR.vtt
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501 B
16. Quiz - Softmax-NNoezNnAMTY.zh-CN.vtt
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548 B
16. Softmax.html
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17. One-Hot Encoding-AePvjhyvsBo.en.vtt
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17. One-Hot Encoding-AePvjhyvsBo.mp4
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1.65 MB
17. One-Hot Encoding-AePvjhyvsBo.pt-BR.vtt
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17. One-Hot Encoding-AePvjhyvsBo.zh-CN.vtt
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17. One-Hot Encoding.html
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18. Maximum Likelihood 1-1yJx-QtlvNI.en.vtt
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18. Maximum Likelihood 1-1yJx-QtlvNI.mp4
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5.75 MB
18. Maximum Likelihood 1-1yJx-QtlvNI.pt-BR.vtt
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18. Maximum Likelihood 2-6nUUeQ9AeUA.en.vtt
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18. Maximum Likelihood 2-6nUUeQ9AeUA.mp4
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18. Maximum Likelihood 2-6nUUeQ9AeUA.pt-BR.vtt
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18. Maximum Likelihood 2-6nUUeQ9AeUA.zh-CN.vtt
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18. Maximum Likelihood.html
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19. Maximizing Probabilities.html
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19. Quiz - Cross 1--xxrisIvD0E.en.vtt
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19. Quiz - Cross 1--xxrisIvD0E.mp4
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3.02 MB
19. Quiz - Cross 1--xxrisIvD0E.pt-BR.vtt
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19. Quiz - Cross 1--xxrisIvD0E.zh-CN.vtt
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19. Quiz Cross Entropy-njq6bYrPqSU.en.vtt
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19. Quiz Cross Entropy-njq6bYrPqSU.mp4
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19. Quiz Cross Entropy-njq6bYrPqSU.pt-BR.vtt
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19. Quiz Cross Entropy-njq6bYrPqSU.zh-CN.vtt
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20. Cross Entropy 1-iREoPUrpXvE.en.vtt
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20. Cross Entropy 1-iREoPUrpXvE.mp4
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4.22 MB
20. Cross Entropy 1-iREoPUrpXvE.pt-BR.vtt
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5 KB
20. Cross Entropy 1-iREoPUrpXvE.zh-CN.vtt
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20. Cross-Entropy 1.html
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21. Cross-Entropy 2.html
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21. CrossEntropy V1-1BnhC6e0TFw.en.vtt
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21. CrossEntropy V1-1BnhC6e0TFw.mp4
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6.61 MB
21. CrossEntropy V1-1BnhC6e0TFw.pt-BR.vtt
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21. CrossEntropy V1-1BnhC6e0TFw.zh-CN.vtt
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21. Formula For Cross 1-qvr_ego_d6w.en.vtt
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21. Formula For Cross 1-qvr_ego_d6w.mp4
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2.08 MB
21. Formula For Cross 1-qvr_ego_d6w.pt-BR.vtt
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21. Formula For Cross 1-qvr_ego_d6w.zh-CN.vtt
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545 B
22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.en.vtt
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22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.mp4
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4.14 MB
22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.pt-BR.vtt
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22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.zh-CN.vtt
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22. Multi-Class Cross Entropy.html
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23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.en.vtt
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23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.mp4
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23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.pt-BR.vtt
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23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.zh-CN.vtt
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23. Error Function-V5kkHldUlVU.en.vtt
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23. Error Function-V5kkHldUlVU.mp4
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4.84 MB
23. Error Function-V5kkHldUlVU.pt-BR.vtt
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23. Error Function-V5kkHldUlVU.zh-CN.vtt
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23. Logistic Regression.html
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9.18 KB
24. Gradient Descent-rhVIF-nigrY.en.vtt
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24. Gradient Descent-rhVIF-nigrY.mp4
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3.76 MB
24. Gradient Descent-rhVIF-nigrY.pt-BR.vtt
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24. Gradient Descent.html
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15.53 KB
25. Gradient Descent Algorithm-snxmBgi_GeU.en.vtt
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25. Gradient Descent Algorithm-snxmBgi_GeU.mp4
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25. Gradient Descent Algorithm-snxmBgi_GeU.pt-BR.vtt
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25. Gradient Descent Algorithm-snxmBgi_GeU.zh-CN.vtt
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25. Logistic Regression Algorithm.html
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26. Pre-Lab Gradient Descent.html
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27. Notebook Gradient Descent.html
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28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.en.vtt
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28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.mp4
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28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.pt-BR.vtt
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28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.zh-CN.vtt
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28. Perceptron vs Gradient Descent.html
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29. Neural Networks Outro V2-pwA5shUkRVc.mp4
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29. Outro.html
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img
and-quiz.png
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and-to-or.png
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codecogseqn-43.gif
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codecogseqn-49.gif
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codecogseqn-58.gif
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codecogseqn-60-2.png
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meme.png
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or-quiz.png
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perceptronquiz.png
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points.png
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student-quiz.png
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xor.png
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index.html
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Part 05-Module 01-Lesson 02_Cloud Computing
01. Overview.html
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02. Create an AWS Account.html
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03. Get Access to GPU Instances.html
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04. Apply Credits.html
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05. Launch an Instance.html
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06. Login to the Instance.html
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07. More Resources.html
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img
amazonwebservices-logo.svg.png
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aws-add-sec-group.png
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aws-create-account.png
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edit-security-group.png
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launch-instance.png
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launch.png
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p2-limit-increase.png
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p2xlarge-limit-request.png
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review-and-launch.png
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screen-shot-2017-06-13-at-12.58.03-pm.png
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screen-shot-2017-11-26-at-10.30.15-am.png
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screen-shot-2018-01-08-at-5.37.22-am.png
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screen-shot-2018-01-08-at-5.38.03-am.png
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screen-shot-2018-07-19-at-5.39.37-pm.png
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stop.png
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index.html
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Part 05-Module 01-Lesson 03_Deep Neural Networks
01. Non-Linear Data-F7ZiE8PQiSc.en.vtt
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01. Non-Linear Data-F7ZiE8PQiSc.mp4
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01. Non-Linear Data-F7ZiE8PQiSc.pt-BR.vtt
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600 B
01. Non-Linear Data-F7ZiE8PQiSc.zh-CN.vtt
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624 B
01. Non-linear Data.html
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7.51 KB
02. Continuous Perceptrons-07-JJ-aGEfM.en.vtt
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02. Continuous Perceptrons-07-JJ-aGEfM.mp4
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1.13 MB
02. Continuous Perceptrons-07-JJ-aGEfM.pt-BR.vtt
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02. Continuous Perceptrons-07-JJ-aGEfM.zh-CN.vtt
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02. Continuous Perceptrons.html
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03. Non-Linear Models-HWuBKCZsCo8.en.vtt
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03. Non-Linear Models-HWuBKCZsCo8.mp4
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03. Non-Linear Models-HWuBKCZsCo8.pt-BR.vtt
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03. Non-Linear Models-HWuBKCZsCo8.zh-CN.vtt
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03. Non-Linear Models.html
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04. 29 Neural Network Architecture 2-FWN3Sw5fFoM.en.vtt
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04. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp4
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04. 29 Neural Network Architecture 2-FWN3Sw5fFoM.pt-BR.vtt
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04. 29 Neural Network Architecture 2-FWN3Sw5fFoM.zh-CN.vtt
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04. Combinando modelos-Boy3zHVrWB4.en.vtt
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04. Combinando modelos-Boy3zHVrWB4.mp4
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04. Combinando modelos-Boy3zHVrWB4.pt-BR.vtt
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04. Combinando modelos-Boy3zHVrWB4.zh-CN.vtt
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04. Layers-pg99FkXYK0M.en.vtt
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04. Layers-pg99FkXYK0M.pt-BR.vtt
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04. Multiclass Classification-uNTtvxwfox0.en.vtt
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04. Multiclass Classification-uNTtvxwfox0.mp4
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04. Multiclass Classification-uNTtvxwfox0.pt-BR.vtt
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04. Multiclass Classification-uNTtvxwfox0.zh-CN.vtt
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04. Neural Network Architecture.html
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12.14 KB
05. DL 41 Feedforward FIX V2-hVCuvMGOfyY.en.vtt
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05. DL 41 Feedforward FIX V2-hVCuvMGOfyY.pt-BR.vtt
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05. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.en.vtt
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05. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp4
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05. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.pt-BR.vtt
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05. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.zh-CN.vtt
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05. Feedforward.html
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06. Backpropagation V2-1SmY3TZTyUk.en.vtt
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06. Backpropagation V2-1SmY3TZTyUk.mp4
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06. Backpropagation V2-1SmY3TZTyUk.pt-BR.vtt
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06. Backpropagation V2-1SmY3TZTyUk.zh-CN.vtt
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06. Backpropagation.html
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06. Calculating The Gradient 1 -tVuZDbUrzzI.en.vtt
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06. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.en.vtt
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07. Keras.html
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08. Pre-Lab Student Admissions in Keras.html
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09. Lab Student Admissions in Keras.html
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10. Training Optimization-UiGKhx9pUYc.en.vtt
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10. Training Optimization.html
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11. Early Stopping.html
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11. Model Complexity Graph-NnS0FJyVcDQ.en.vtt
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12. DL 53 Q Regularization-KxROxcRsHL8.en.vtt
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12. Regularization.html
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13. Regularization 2.html
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14. Dropout-Ty6K6YiGdBs.en.vtt
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14. Dropout.html
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15. Local Minima-gF_sW_nY-xw.en.vtt
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16. Vanishing Gradient-W_JJm_5syFw.en.vtt
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16. Vanishing Gradient.html
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17. Other Activation Functions-kA-1vUt6cvQ.en.vtt
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17. Other Activation Functions.html
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18. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.en.vtt
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18. Batch vs Stochastic Gradient Descent.html
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19. Learning Rate Decay.html
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20. Random Restart-idyBBCzXiqg.en.vtt
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20. Random Restart-idyBBCzXiqg.mp4
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20. Random Restart.html
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21. Momentum-r-rYz_PEWC8.en.vtt
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21. Momentum.html
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22. Optimizers in Keras.html
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23. Error Functions Around the World-34AAcTECu2A.en.vtt
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23. Error Functions Around the World.html
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24. Neural Network Regression-aUJCBqBfEnI.mp4
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24. Neural Network Regression-aUJCBqBfEnI.pt-BR.vtt
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24. Neural Network Regression.html
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25. Neural Networks Playground.html
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26. Keras Lab-a50un22BsLI.en.vtt
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26. Mini Project Intro.html
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27. Pre-Lab IMDB Data in Keras.html
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28. Lab IMDB Data in Keras.html
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29. Conclusion-wOiUQDgGD9E.en.vtt
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29. Outro.html
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img
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nn.png
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Part 05-Module 01-Lesson 04_Convolutional Neural Networks
01. Introducing Alexis-38ExGpdyvJI.en.vtt
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01. Introducing Alexis.html
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02. Applications of CNNs-HrYNL_1SV2Y.en.vtt
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03. How Computers Interpret Images-V4f6p6uRhu8.en.vtt
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04. MLPs For Image Classification-TIFStebu530.en.vtt
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05. Categorical Cross-Entropy-3sDYifgjFck.en.vtt
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06. Model Validation in Keras-002jNXSM6CU.en.vtt
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06. Model Validation in Keras.html
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07. When do MLPs (not) work well .html
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08. Mini project Training an MLP on MNIST.html
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09. Local Connectivity-z9wiDg0w-Dc.en.vtt
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09. Local Connectivity.html
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10. Convolutional Layers (Part 1).html
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10. Convolutional Layers-h5R_JvdUrUI.en.vtt
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11. Convolutional Layers (Part 2).html
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11. Convolutional Layers-RnM1D-XI--8.en.vtt
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12. Stride and Padding-0r9o8hprDXQ.en.vtt
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12. Stride and Padding.html
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13. Convolutional Layers in Keras.html
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14. Quiz Dimensionality.html
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15. Pooling Layers-OkkIZNs7Cyc.en.vtt
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15. Pooling Layers.html
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16. Max Pooling Layers in Keras.html
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17. CNNs For Image Classification-l9vg_1YUlzg.en.vtt
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17. CNNs For Image Classification-l9vg_1YUlzg.mp4
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17. CNNs for Image Classification.html
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18. CNNs in Keras Practical Example-faFvmGDwXX0.en.vtt
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18. CNNs in Keras Practical Example-faFvmGDwXX0.mp4
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18. CNNs in Keras Practical Example-faFvmGDwXX0.zh-CN.vtt
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18. CNNs in Keras Practical Example.html
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19. Mini project CNNs in Keras.html
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20. Image Augmentation in Keras-odStujZq3GY.en.vtt
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20. Image Augmentation in Keras.html
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21. Mini project Image Augmentation in Keras.html
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22. Groundbreaking CNN Architectures-ddrB-mhMfkY.en.vtt
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22. Groundbreaking CNN Architectures.html
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23. Visualizing CNNs (Part 1).html
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24. Visualizing CNNs (Part 2).html
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25. Transfer Learning-LHG5FltaR6I.en.vtt
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25. Transfer Learning-LHG5FltaR6I.mp4
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25. Transfer Learning.html
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26. Transfer Learning in Keras-HsIAznMM1LA.en.vtt
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26. Transfer Learning in Keras.html
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img
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layer-1-grid.png
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maxpool.jpeg
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index.html
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Part 05-Module 01-Lesson 05_Deep Learning for Cancer Detection with Sebastian Thrun
01. Intro.html
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01. Introduction-ZCpXvVdIdnY.en.vtt
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01. Introduction-ZCpXvVdIdnY.mp4
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02. 02 Skin Cancer V4-70jGZeiTNgk.en.vtt
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02. Skin Cancer.html
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03. Survival Probability of Skin Cancer.html
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04. Medical Classification-RCOSP60dV7U.en.vtt
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04. Medical Classification.html
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05. The Data-2RLbbV7MQNA.en.vtt
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05. The data.html
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06. 06 Image Challenge V3-Efnoj1KNPHw.en.vtt
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06. Image Challenges.html
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07. 07 Quiz Data Challenges V1-F8yc7BlV93c.en.vtt
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07. Quiz Data Challenges.html
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08. Solution Data Challenges-1z3o4niQuNg.en.vtt
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09. Training The Neural Network-HwiI-UXUx-M.en.vtt
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09. Training the Neural Network.html
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10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.en.vtt
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10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.zh-CN.vtt
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11. Solution Random Vs Preinitialized Thoughts-sOuoRZRKDzs.en.vtt
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11. Solution Random Vs Preinitialized Thoughts-sOuoRZRKDzs.mp4
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11. Solution Random vs Pre-initialized Weight.html
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12. Validating The Training-Oxm9ofvov3I.en.vtt
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12. Validating The Training-Oxm9ofvov3I.mp4
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13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.en.vtt
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13. Quiz Sensitivity and Specificity.html
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14. Solution Sensitivity and Specificity.html
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15. More on Sensitivity and Specificity.html
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16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.en.vtt
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16. Quiz Diagnosing Cancer.html
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17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.en.vtt
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18. Images-1GdiN5Wc8LA.mp4
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18. ROC Curve-2Iw5TiGzJI4.en.vtt
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18. Refresh on ROC Curves.html
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19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.en.vtt
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21. Comparing our Results with Doctors.html
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22. Visualization-aGIGB4Ta3_A.en.vtt
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23. What Is The Neural Network Looking At-qN-rvoxPbBw.en.vtt
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24. Confusion Matrix-Question 1-9GLNjmMUB_4.en-US.vtt
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24. Refresh on Confusion Matrices.html
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26. Conclusion-WhpE_8sTt-0.en.vtt
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26. Conclusion.html
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27. Useful Resources.html
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28. Mini Project Introduction-Rgf3YVFWl-M.en.vtt
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28. Mini Project Introduction.html
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29. Mini Project Dermatologist AI.html
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img
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lesions.png
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nature.png
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threshold.png
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Part 05-Module 01-Lesson 06_Deep Learning Assessment
01. Assessment.html
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index.html
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Part 05-Module 01-Lesson 07_Deep Learning Project
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02. Dog Breed Workspace.html
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Project Description - Dog Breed Classifier.html
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Project Rubric - Dog Breed Classifier.html
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index.html
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Part 06-Module 01-Lesson 01_Introduction to RL
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02. Applications-CV6B84mKRNM.en.vtt
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02. Applications-CV6B84mKRNM.mp4
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02. Applications-CV6B84mKRNM.pt-BR.vtt
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02. Applications.html
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03. The Setting-nh8Gwdu19nc.en.vtt
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03. The Setting.html
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04. OpenAI Gym-MktEOWp3QLg.en.vtt
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04. OpenAI Gym.html
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05. Resources-_YPqfAnCqtk.en.vtt
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06. Reference Guide.html
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Part 06-Module 01-Lesson 02_The RL Framework The Problem
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02. The Setting, Revisited-V6Q1uF8a6kA.en.vtt
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03. Episodic vs. Continuing Tasks-E1I-BPanSM8.en.vtt
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04. Quiz Test Your Intuition.html
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05. Quiz Episodic or Continuing.html
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06. The Reward Hypothesis-uAqNwgZ49JE.en.vtt
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07. Goals and Rewards, Part 1-XPnj3Ya3EuM.en.vtt
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08. Goals and Rewards, Part 2-pVIFc72VYH8.en.vtt
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08. Goals and Rewards, Part 2.html
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09. Quiz Goals and Rewards.html
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11. Discounted Return-opXGNPwwn7g.en.vtt
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11. Discounted Return.html
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12. Quiz Pole-Balancing.html
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13. MDPs, Part 1-NBWbluSbxPg.en.vtt
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14. MDPs, Part 2-CUTtQvxKkNw.en.vtt
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14. MDPs, Part 2.html
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15. Quiz One-Step Dynamics, Part 1.html
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17. MDPs, Part 3-UlXHFbla3QI.en.vtt
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17. MDPs, Part 3.html
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18. Finite MDPs.html
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19. Summary.html
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Part 06-Module 01-Lesson 03_The RL Framework The Solution
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02. Policies-hc3LrvaC13U.en.vtt
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02. Policies.html
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03. Quiz Interpret the Policy.html
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04. Gridworld Example-XeHBmPFqTsE.en.vtt
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05. State-Value Functions-llakAjwox_8.en.vtt
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06. Bellman Equations-UgIaDMvSdUo.en.vtt
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07. Quiz State-Value Functions.html
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08. Optimality-j231aRV74QM.en.vtt
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09. Action-Value Functions-KJLaRfOOPGA.en.vtt
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10. Quiz Action-Value Functions.html
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11. Optimal Policies-2rguYpVyCto.en.vtt
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12. Quiz Optimal Policies.html
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13. Summary.html
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img
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index.html
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Part 06-Module 01-Lesson 04_Dynamic Programming
01. Introduction-ek2PD9RDrWw.en.vtt
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01. Introduction-ek2PD9RDrWw.mp4
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01. Introduction-ek2PD9RDrWw.pt-BR.vtt
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01. Introduction-ek2PD9RDrWw.zh-CN.vtt
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01. Introduction.html
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02. OpenAI Gym FrozenLakeEnv.html
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03. Your Workspace.html
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04. Another Gridworld Example-n9SbomnLb-U.en.vtt
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04. Another Gridworld Example.html
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05. An Iterative Method, Part 1.html
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05. An Iterative Method-AX-hG3KvwzY.en.vtt
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05. An Iterative Method-AX-hG3KvwzY.mp4
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05. An Iterative Method-AX-hG3KvwzY.pt-BR.vtt
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06. An Iterative Method, Part 2.html
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07. Quiz An Iterative Method.html
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08. Iterative Policy Evaluation-eDXIL_oOJHI.en.vtt
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08. Iterative Policy Evaluation-eDXIL_oOJHI.mp4
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08. Iterative Policy Evaluation-eDXIL_oOJHI.pt-BR.vtt
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08. Iterative Policy Evaluation.html
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09. Implementation.html
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10. Mini Project DP (Parts 0 and 1).html
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11. Action Values.html
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12. Implementation.html
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13. Mini Project DP (Part 2).html
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14. Policy Improvement-4_adUEK0IHg.en.vtt
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14. Policy Improvement-4_adUEK0IHg.mp4
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14. Policy Improvement-4_adUEK0IHg.pt-BR.vtt
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14. Policy Improvement-4_adUEK0IHg.zh-CN.vtt
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14. Policy Improvement.html
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15. Implementation.html
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16. Mini Project DP (Part 3).html
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17. Policy Iteration-gqv7o1kBDc0.en.vtt
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17. Policy Iteration-gqv7o1kBDc0.mp4
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17. Policy Iteration-gqv7o1kBDc0.pt-BR.vtt
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17. Policy Iteration.html
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18. Implementation.html
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19. Mini Project DP (Part 4).html
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20. Truncated Policy Iteration-a-RvCxlPMho.en.vtt
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20. Truncated Policy Iteration-a-RvCxlPMho.mp4
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20. Truncated Policy Iteration.html
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21. Implementation.html
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22. Mini Project DP (Part 5).html
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23. Value Iteration-XNeQn8N36y8.en.vtt
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23. Value Iteration-XNeQn8N36y8.mp4
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23. Value Iteration-XNeQn8N36y8.pt-BR.vtt
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23. Value Iteration.html
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24. Implementation.html
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25. Mini Project DP (Part 6).html
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26. Check Your Understanding.html
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27. Summary.html
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Part 06-Module 01-Lesson 05_Monte Carlo Methods
01. Introduction-W2EP3riQSus.en.vtt
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01. Introduction-W2EP3riQSus.mp4
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01. Introduction-W2EP3riQSus.pt-BR.vtt
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01. Introduction-W2EP3riQSus.zh-CN.vtt
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01. Introduction.html
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02. OpenAI Gym BlackjackEnv.html
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03. MC Prediction State Values-0q2wSWyuBj8.en.vtt
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03. MC Prediction State Values-0q2wSWyuBj8.mp4
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03. MC Prediction State Values-0q2wSWyuBj8.pt-BR.vtt
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03. MC Prediction State Values.html
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04. Implementation.html
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05. Mini Project MC (Parts 0 and 1).html
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06. MC Prediction Action Values-08tLtbh0xLs.en.vtt
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06. MC Prediction Action Values-08tLtbh0xLs.mp4
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06. MC Prediction Action Values-08tLtbh0xLs.pt-BR.vtt
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06. MC Prediction Action Values.html
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07. Implementation.html
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08. Mini Project MC (Part 2).html
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09. Generalized Policy Iteration-XRmz4nolEsw.en.vtt
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09. Generalized Policy Iteration-XRmz4nolEsw.mp4
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10. MC Control Incremental Mean-E2RITH-2NUE.en.vtt
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10. MC Control Incremental Mean-E2RITH-2NUE.mp4
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10. MC Control Incremental Mean-E2RITH-2NUE.pt-BR.vtt
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10. MC Control Incremental Mean.html
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11. Quiz Incremental Mean.html
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12. MC Control Policy Evaluation-3_opwMzpEEI.en.vtt
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13. MC Control Policy Improvement-2RKH-BInX7s.en.vtt
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13. MC Control Policy Improvement-2RKH-BInX7s.mp4
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13. MC Control Policy Improvement-2RKH-BInX7s.pt-BR.vtt
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13. MC Control Policy Improvement.html
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14. Quiz Epsilon-Greedy Policies.html
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15. Exploration vs. Exploitation.html
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16. Implementation.html
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17. Mini Project MC (Part 3).html
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18. MC Control Constant-alpha, Part 1.html
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18. MC Control Constant-alpha-QFV1nI9Zpoo.en.vtt
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18. MC Control Constant-alpha-QFV1nI9Zpoo.mp4
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18. MC Control Constant-alpha-QFV1nI9Zpoo.pt-BR.vtt
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19. MC Control Constant-alpha, Part 2.html
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20. Implementation.html
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21. Mini Project MC (Part 4).html
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22. Summary.html
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img
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Part 06-Module 01-Lesson 06_Temporal-Difference Methods
01. Introduction-yXErXQulI_o.en.vtt
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01. Introduction-yXErXQulI_o.mp4
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01. Introduction-yXErXQulI_o.zh-CN.vtt
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01. Introduction.html
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02. OpenAI Gym CliffWalkingEnv.html
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03. TD Prediction TD(0)-CsD6b0csU7o.en.vtt
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03. TD Prediction TD(0)-CsD6b0csU7o.mp4
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03. TD Prediction TD(0)-CsD6b0csU7o.zh-CN.vtt
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03. TD Prediction TD(0).html
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04. Implementation.html
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05. Mini Project TD (Parts 0 and 1).html
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06. TD Prediction Action Values-1c029-7_9GA.en.vtt
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06. TD Prediction Action Values-1c029-7_9GA.mp4
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06. TD Prediction Action Values-1c029-7_9GA.zh-CN.vtt
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06. TD Prediction Action Values.html
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07. TD Control Sarsa(0)-LkFkjfsRpXc.en.vtt
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07. TD Control Sarsa(0).html
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08. Implementation.html
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09. Mini Project TD (Part 2).html
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10. TD Control Sarsamax-4DxoYuR7aZ4.en.vtt
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10. TD Control Sarsamax-4DxoYuR7aZ4.mp4
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10. TD Control Sarsamax.html
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11. Implementation.html
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12. Mini Project TD (Part 3).html
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13. TD Control Expected Sarsa-kEKupCyU0P0.en.vtt
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13. TD Control Expected Sarsa-kEKupCyU0P0.mp4
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14. Implementation.html
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15. Mini Project TD (Part 4).html
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16. Analyzing Performance.html
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17. Summary.html
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img
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Part 06-Module 01-Lesson 07_Solve OpenAI Gym's Taxi-v2 Task
01. Introduction.html
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02. Instructions.html
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03. Mini Project.html
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img
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open-agent-monitor-main.gif
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open-terminal.gif
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run-main.gif
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Part 06-Module 02-Lesson 01_RL in Continuous Spaces
01. Deep Reinforcement Learning-GPjK124RU5g.en.vtt
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01. Deep Reinforcement Learning-GPjK124RU5g.mp4
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01. Deep Reinforcement Learning-GPjK124RU5g.pt-BR.vtt
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01. Deep Reinforcement Learning.html
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02. Resources.html
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03. Discrete vs. Continuous Spaces-uHstLeRzaE8.en.vtt
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03. Discrete vs. Continuous Spaces-uHstLeRzaE8.mp4
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03. Discrete vs. Continuous Spaces-uHstLeRzaE8.pt-BR.vtt
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03. Discrete vs. Continuous Spaces.html
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04. Quiz Space Representations.html
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05. Discretization-j2eZyUpy--E.en.vtt
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05. Discretization-j2eZyUpy--E.mp4
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05. Discretization.html
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06. Exercise Discretization.html
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07. Tile Coding-BRs7AnTZ_8k.en.vtt
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07. Tile Coding-BRs7AnTZ_8k.mp4
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07. Tile Coding.html
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08. Exercise Tile Coding.html
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09. Coarse Coding-Uu1J5KLAfTU.en.vtt
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09. Coarse Coding-Uu1J5KLAfTU.mp4
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10. Function Approximation-UTGWVY6jEdg.en.vtt
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10. Function Approximation.html
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11. Linear Function Approximation-OJ5wrB7o-pI.en.vtt
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11. Linear Function Approximation-OJ5wrB7o-pI.mp4
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11. Linear Function Approximation.html
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12. Kernel Functions-RdkPVYyVOvU.en.vtt
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12. Kernel Functions-RdkPVYyVOvU.mp4
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12. Kernel Functions.html
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13. Non-Linear Function Approximation-rITnmpD2mN8.en.vtt
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14. Summary-MTEBk43oByU.en.vtt
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Part 06-Module 02-Lesson 02_Deep Q-Learning
01. Intro to Deep Q-Learning-o3cmuUDhP3I.en.vtt
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01. Intro to Deep Q-Learning-o3cmuUDhP3I.mp4
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01. Intro to Deep Q-Learning-o3cmuUDhP3I.pt-BR.vtt
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01. Intro to Deep Q-Learning-o3cmuUDhP3I.zh-CN.vtt
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01. Intro to Deep Q-Learning.html
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02. Neural Nets as Value Functions-cBi7vLrk8QQ.en.vtt
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02. Neural Nets as Value Functions-cBi7vLrk8QQ.mp4
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02. Neural Nets as Value Functions-cBi7vLrk8QQ.pt-BR.vtt
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02. Neural Nets as Value Functions.html
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03. Monte Carlo Learning-qOviWYwcvsg.en.vtt
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03. Monte Carlo Learning-qOviWYwcvsg.mp4
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03. Monte Carlo Learning-qOviWYwcvsg.pt-BR.vtt
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03. Monte Carlo Learning.html
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04. Temporal Difference Learning-lpmDi0QeUm8.en.vtt
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04. Temporal Difference Learning-lpmDi0QeUm8.mp4
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04. Temporal Difference Learning-lpmDi0QeUm8.pt-BR.vtt
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04. Temporal Difference Learning-lpmDi0QeUm8.zh-CN.vtt
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04. Temporal Difference Learning.html
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05. Q-Learning-AI5gLgYMSq8.en.vtt
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05. Q-Learning.html
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06. Deep Q Network-GgtR_d1OB-M.en.vtt
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06. Deep Q Network-GgtR_d1OB-M.mp4
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07. Experience Replay-wX_-SZG-YMQ.en.vtt
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08. Fixed Q Targets-SWpyiEezfp4.en.vtt
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09. Deep Q-Learning Algorithm-MqTXoCxQ_eY.en.vtt
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09. Deep Q-Learning Algorithm-MqTXoCxQ_eY.mp4
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09. Deep Q-Learning Algorithm.html
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10. DQN Improvements-Zfdbp93A2GU.en.vtt
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10. DQN Improvements-Zfdbp93A2GU.mp4
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10. DQN Improvements-Zfdbp93A2GU.pt-BR.vtt
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10. DQN Improvements.html
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11. Implementing Deep Q-Learning.html
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12. TensorFlow Implementation.html
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13. Wrap Up-x6JggcDTcys.en.vtt
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13. Wrap Up-x6JggcDTcys.mp4
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13. Wrap Up-x6JggcDTcys.pt-BR.vtt
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Part 06-Module 02-Lesson 03_Policy-Based Methods
01. M2L3 01 V1-YOSREyp04HA.en.vtt
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01. M2L3 01 V1-YOSREyp04HA.mp4
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4.98 MB
01. M2L3 01 V1-YOSREyp04HA.zh-CN.vtt
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787 B
01. Policy-Based Methods.html
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5.29 KB
02. M2L3 02 V2-ToS8vXGdODE.en.vtt
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9.07 KB
02. M2L3 02 V2-ToS8vXGdODE.mp4
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32.51 MB
02. M2L3 02 V2-ToS8vXGdODE.zh-CN.vtt
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8.11 KB
02. Why Policy-Based Methods.html
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5.3 KB
03. M2L3 03 V2-TePX-0Bs23E.en.vtt
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5.99 KB
03. M2L3 03 V2-TePX-0Bs23E.mp4
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18.85 MB
03. M2L3 03 V2-TePX-0Bs23E.zh-CN.vtt
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5.24 KB
03. Policy Function Approximation.html
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5.3 KB
04. M2L3 04 V1-QicxmyE5vTo.en.vtt
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5.35 KB
04. M2L3 04 V1-QicxmyE5vTo.mp4
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21.03 MB
04. M2L3 04 V1-QicxmyE5vTo.zh-CN.vtt
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4.62 KB
04. Stochastic Policy Search.html
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5.29 KB
05. M2L3 05 V1-eZxxNNIZuwA.en.vtt
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7.33 KB
05. M2L3 05 V1-eZxxNNIZuwA.mp4
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16.64 MB
05. M2L3 05 V1-eZxxNNIZuwA.zh-CN.vtt
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6.27 KB
05. Policy Gradients.html
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5.28 KB
06. M2L3 06 V1-RMjdQkl6CqE.en.vtt
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910 B
06. M2L3 06 V1-RMjdQkl6CqE.mp4
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3.01 MB
06. M2L3 06 V1-RMjdQkl6CqE.zh-CN.vtt
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804 B
06. Monte Carlo Policy Gradients.html
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5.3 KB
07. Constrained Policy Gradients.html
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5.3 KB
07. M2L3 07 V2-ZBLLGIN1EfU.en.vtt
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9.11 KB
07. M2L3 07 V2-ZBLLGIN1EfU.mp4
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43.55 MB
07. M2L3 07 V2-ZBLLGIN1EfU.zh-CN.vtt
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7.88 KB
08. M2L3 08 V1-og3W6CXn1F0.en.vtt
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1.36 KB
08. M2L3 08 V1-og3W6CXn1F0.mp4
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7.63 MB
08. M2L3 08 V1-og3W6CXn1F0.zh-CN.vtt
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1.24 KB
08. Recap.html
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5.26 KB
index.html
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4.07 KB
Part 06-Module 02-Lesson 04_Actor-Critic Methods
01. Actor-Critic Methods.html
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5.44 KB
01. RL M2L4 01 Actor Critic Methods RENDER V1 V1-FXhyxJzgt8U.en.vtt
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1.54 KB
01. RL M2L4 01 Actor Critic Methods RENDER V1 V1-FXhyxJzgt8U.mp4
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10.38 MB
01. RL M2L4 01 Actor Critic Methods RENDER V1 V1-FXhyxJzgt8U.pt-BR.vtt
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1.78 KB
01. RL M2L4 01 Actor Critic Methods RENDER V1 V1-FXhyxJzgt8U.zh-CN.vtt
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1.36 KB
02. A Better Score Function.html
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5.41 KB
02. RL M2L4 02 A Better Score Function V2-_HBJ3l10-OE.en.vtt
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2.64 KB
02. RL M2L4 02 A Better Score Function V2-_HBJ3l10-OE.mp4
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8.68 MB
02. RL M2L4 02 A Better Score Function V2-_HBJ3l10-OE.pt-BR.vtt
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3.09 KB
02. RL M2L4 02 A Better Score Function V2-_HBJ3l10-OE.zh-CN.vtt
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2.34 KB
03. RL M2L4 03 Two Function Approximators V1-37KQEgLaLfw.en.vtt
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1.68 KB
03. RL M2L4 03 Two Function Approximators V1-37KQEgLaLfw.mp4
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6.13 MB
03. RL M2L4 03 Two Function Approximators V1-37KQEgLaLfw.pt-BR.vtt
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1.93 KB
03. RL M2L4 03 Two Function Approximators V1-37KQEgLaLfw.zh-CN.vtt
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1.45 KB
03. Two Function Approximators.html
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5.43 KB
04. RL M2L4 04 The Actor And The Critic V1-bvbE9F7urd4.en.vtt
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2.72 KB
04. RL M2L4 04 The Actor And The Critic V1-bvbE9F7urd4.mp4
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10.01 MB
04. RL M2L4 04 The Actor And The Critic V1-bvbE9F7urd4.pt-BR.vtt
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3.03 KB
04. RL M2L4 04 The Actor And The Critic V1-bvbE9F7urd4.zh-CN.vtt
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2.41 KB
04. The Actor and The Critic.html
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5.42 KB
05. Advantage Function.html
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5.42 KB
05. RL M2L4 05 Advantage Function RENDER V1 V2-vpLmzKqcgfc.en.vtt
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3.9 KB
05. RL M2L4 05 Advantage Function RENDER V1 V2-vpLmzKqcgfc.mp4
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10.72 MB
05. RL M2L4 05 Advantage Function RENDER V1 V2-vpLmzKqcgfc.pt-BR.vtt
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4.27 KB
05. RL M2L4 05 Advantage Function RENDER V1 V2-vpLmzKqcgfc.zh-CN.vtt
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3.3 KB
06. Actor-Critic with Advantage.html
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5.49 KB
06. RL M2L4 06 Actor Critic With Advantage RENDER V1 V1-Bwd2OF7hJXQ.en.vtt
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1 KB
06. RL M2L4 06 Actor Critic With Advantage RENDER V1 V1-Bwd2OF7hJXQ.mp4
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3.09 MB
06. RL M2L4 06 Actor Critic With Advantage RENDER V1 V1-Bwd2OF7hJXQ.pt-BR.vtt
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1.18 KB
06. RL M2L4 06 Actor Critic With Advantage RENDER V1 V1-Bwd2OF7hJXQ.zh-CN.vtt
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891 B
07. Summary-hvYQ_3LgCYs.en.vtt
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2.34 KB
07. Summary-hvYQ_3LgCYs.mp4
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16.9 MB
07. Summary-hvYQ_3LgCYs.pt-BR.vtt
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2.79 KB
07. Summary-hvYQ_3LgCYs.zh-CN.vtt
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2.09 KB
07. Summary.html
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5.23 KB
index.html
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3.97 KB
Part 06-Module 02-Lesson 05_Teach a Quadcopter How to Fly
01. Project Intro.html
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9.73 KB
02. Quadcopter workspace.html
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6.05 KB
03. Replay Buffer.html
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6.54 KB
04. DDPG Actor.html
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9.78 KB
05. DDPG Critic.html
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9.15 KB
06. DDPG Agent.html
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10.55 KB
07. Ornstein–Uhlenbeck Noise.html
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7.3 KB
08. Troubleshooting.html
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8.78 KB
Project Description - Teach a Quadcopter How to Fly.html
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6.24 KB
Project Rubric - Teach a Quadcopter How to Fly.html
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8.15 KB
img
parrot-ar-drone.jpg
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submit-workspace.png
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546.65 KB
index.html
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4.24 KB
Part 06-Module 03-Lesson 01_Reinforcement Learning Assessment
01. Assessment.html
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8.4 KB
index.html
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3.5 KB
Part 07-Module 01-Lesson 01_Writing up a Capstone Proposal
01. Overview.html
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7.04 KB
02. Description.html
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6.65 KB
03. Software and Data Requirements.html
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7.47 KB
04. Proposal Guidelines.html
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6.62 KB
05. Submitting the Project.html
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6.35 KB
Project Description - Capstone Proposal.html
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9.03 KB
Project Rubric - Capstone Proposal.html
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8.75 KB
index.html
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4.01 KB
Part 07-Module 02-Lesson 01_Machine Learning Capstone Project
01. Overview.html
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6.77 KB
02. Description.html
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7.81 KB
03. Software and Data Requirements.html
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7.68 KB
04. Report Guidelines.html
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6.71 KB
05. Example Reports.html
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7.62 KB
06. Submitting the Project.html
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7.32 KB
Project Description - Capstone Project.html
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10.41 KB
Project Rubric - Capstone Project.html
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12.54 KB
index.html
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4.08 KB
Part 08-Module 01-Lesson 01_Conduct a Job Search
01. Introduction-axcFtHK6If4.en.vtt
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2.32 KB
01. Introduction-axcFtHK6If4.es-MX.vtt
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2.24 KB
01. Introduction-axcFtHK6If4.mp4
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10.45 MB
01. Introduction-axcFtHK6If4.pt-BR.vtt
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2.27 KB
01. Introduction-axcFtHK6If4.zh-CN.vtt
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2.22 KB
01. Introduction.html
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5.22 KB
02. Job Search Mindset-cBk7bno3KS0.en.vtt
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2.44 KB
02. Job Search Mindset-cBk7bno3KS0.es-MX.vtt
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2.44 KB
02. Job Search Mindset-cBk7bno3KS0.mp4
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12.08 MB
02. Job Search Mindset-cBk7bno3KS0.pt-BR.vtt
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2.48 KB
02. Job Search Mindset-cBk7bno3KS0.zh-CN.vtt
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2.28 KB
02. Job Search Mindset.html
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5.26 KB
03. Target Your Application to An Employer-X9JBzbrkcvs.en.vtt
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5.07 KB
03. Target Your Application to An Employer-X9JBzbrkcvs.es-MX.vtt
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5.2 KB
03. Target Your Application to An Employer-X9JBzbrkcvs.mp4
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22.24 MB
03. Target Your Application to An Employer-X9JBzbrkcvs.pt-BR.vtt
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5.17 KB
03. Target Your Application to An Employer-X9JBzbrkcvs.zh-CN.vtt
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4.67 KB
03. Target Your Application to An Employer.html
HTML
5.42 KB
04. Open Yourself Up to Opportunity-1OamTNkk1xM.en.vtt
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663 B
04. Open Yourself Up to Opportunity-1OamTNkk1xM.es-MX.vtt
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707 B
04. Open Yourself Up to Opportunity-1OamTNkk1xM.mp4
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1.14 MB
04. Open Yourself Up to Opportunity-1OamTNkk1xM.pt-BR.vtt
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760 B
04. Open Yourself Up to Opportunity-1OamTNkk1xM.zh-CN.vtt
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675 B
04. Open Yourself Up to Opportunity.html
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5.37 KB
05. Resources in Your Career Portal.html
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6.32 KB
img
career-portal-sidebar.png
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screen-shot-2017-10-31-at-1.06.42-pm.png
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1.2 MB
index.html
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3.86 KB
Part 08-Module 02-Lesson 01_Refine Your Entry-Level Resume
01. Convey Your Skills Concisely-xnQr3ohml9s.en.vtt
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2.36 KB
01. Convey Your Skills Concisely-xnQr3ohml9s.es-MX.vtt
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2.1 KB
01. Convey Your Skills Concisely-xnQr3ohml9s.mp4
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11.53 MB
01. Convey Your Skills Concisely-xnQr3ohml9s.pt-BR.vtt
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2.17 KB
01. Convey Your Skills Concisely-xnQr3ohml9s.zh-CN.vtt
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2.08 KB
01. Convey Your Skills Concisely.html
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5.99 KB
02. Effective Resume Components-AiFcaHRGdEA.en.vtt
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2.53 KB
02. Effective Resume Components-AiFcaHRGdEA.es-MX.vtt
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2.54 KB
02. Effective Resume Components-AiFcaHRGdEA.mp4
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13.24 MB
02. Effective Resume Components-AiFcaHRGdEA.pt-BR.vtt
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2.58 KB
02. Effective Resume Components-AiFcaHRGdEA.zh-CN.vtt
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2.34 KB
02. Effective Resume Components.html
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5.98 KB
03. Resume Structure-POM0MqLTj98.en.vtt
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3.46 KB
03. Resume Structure-POM0MqLTj98.es-MX.vtt
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3.67 KB
03. Resume Structure-POM0MqLTj98.mp4
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12.18 MB
03. Resume Structure-POM0MqLTj98.pt-BR.vtt
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3.7 KB
03. Resume Structure-POM0MqLTj98.zh-CN.vtt
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3.26 KB
03. Resume Structure.html
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5.89 KB
04. Describe Your Work Experiences-B1LED4txinI.en.vtt
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1.75 KB
04. Describe Your Work Experiences-B1LED4txinI.es-MX.vtt
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1.81 KB
04. Describe Your Work Experiences-B1LED4txinI.mp4
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9.49 MB
04. Describe Your Work Experiences-B1LED4txinI.pt-BR.vtt
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1.86 KB
04. Describe Your Work Experiences-B1LED4txinI.zh-CN.vtt
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1.71 KB
04. Describe Your Work Experiences.html
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6.23 KB
05. Resume Reflection-8Cj_tCp8mls.en.vtt
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2.31 KB
05. Resume Reflection-8Cj_tCp8mls.es-MX.vtt
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1.95 KB
05. Resume Reflection-8Cj_tCp8mls.mp4
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12.64 MB
05. Resume Reflection-8Cj_tCp8mls.pt-BR.vtt
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1.98 KB
05. Resume Reflection-8Cj_tCp8mls.zh-CN.vtt
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2.1 KB
05. Resume Reflection.html
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5.9 KB
06. Resume Review-L3F2BFGYMtI.en.vtt
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2.75 KB
06. Resume Review-L3F2BFGYMtI.es-MX.vtt
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2.74 KB
06. Resume Review-L3F2BFGYMtI.mp4
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12.85 MB
06. Resume Review-L3F2BFGYMtI.pt-BR.vtt
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2.82 KB
06. Resume Review-L3F2BFGYMtI.zh-CN.vtt
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2.4 KB
06. Resume Review.html
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6.4 KB
07. Resume Review (Entry-level).html
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7.62 KB
08. Resources in Your Career Portal.html
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6.97 KB
Project Description - Resume Review Project (Entry-level).html
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6.66 KB
Project Rubric - Resume Review Project (Entry-level).html
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13.19 KB
img
career-portal-sidebar.png
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screen-shot-2017-10-31-at-1.06.42-pm.png
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1.2 MB
index.html
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4.4 KB
Part 08-Module 02-Lesson 02_Refine Your Career Change Resume
01. Convey Your Skills Concisely-xnQr3ohml9s.en.vtt
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2.36 KB
01. Convey Your Skills Concisely-xnQr3ohml9s.es-MX.vtt
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2.1 KB
01. Convey Your Skills Concisely-xnQr3ohml9s.mp4
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11.53 MB
01. Convey Your Skills Concisely-xnQr3ohml9s.pt-BR.vtt
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2.17 KB
01. Convey Your Skills Concisely-xnQr3ohml9s.zh-CN.vtt
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2.08 KB
01. Convey Your Skills Concisely.html
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6 KB
02. Effective Resume Components-AiFcaHRGdEA.en.vtt
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2.53 KB
02. Effective Resume Components-AiFcaHRGdEA.es-MX.vtt
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2.54 KB
02. Effective Resume Components-AiFcaHRGdEA.mp4
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13.24 MB
02. Effective Resume Components-AiFcaHRGdEA.pt-BR.vtt
VTT
2.58 KB
02. Effective Resume Components-AiFcaHRGdEA.zh-CN.vtt
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2.34 KB
02. Effective Resume Components.html
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5.99 KB
03. Resume Structure-POM0MqLTj98.en.vtt
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3.46 KB
03. Resume Structure-POM0MqLTj98.es-MX.vtt
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3.67 KB
03. Resume Structure-POM0MqLTj98.mp4
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12.18 MB
03. Resume Structure-POM0MqLTj98.pt-BR.vtt
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3.7 KB
03. Resume Structure-POM0MqLTj98.zh-CN.vtt
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3.26 KB
03. Resume Structure.html
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5.91 KB
04. Describe Your Work Experiences-B1LED4txinI.en.vtt
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1.75 KB
04. Describe Your Work Experiences-B1LED4txinI.es-MX.vtt
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1.81 KB
04. Describe Your Work Experiences-B1LED4txinI.mp4
MP4
9.49 MB
04. Describe Your Work Experiences-B1LED4txinI.pt-BR.vtt
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1.86 KB
04. Describe Your Work Experiences-B1LED4txinI.zh-CN.vtt
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1.71 KB
04. Describe Your Work Experiences.html
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6.24 KB
05. Resume Reflection-8Cj_tCp8mls.en.vtt
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2.31 KB
05. Resume Reflection-8Cj_tCp8mls.es-MX.vtt
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1.95 KB
05. Resume Reflection-8Cj_tCp8mls.mp4
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12.64 MB
05. Resume Reflection-8Cj_tCp8mls.pt-BR.vtt
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1.98 KB
05. Resume Reflection-8Cj_tCp8mls.zh-CN.vtt
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2.1 KB
05. Resume Reflection.html
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5.91 KB
06. Resume Review-L3F2BFGYMtI.en.vtt
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2.75 KB
06. Resume Review-L3F2BFGYMtI.es-MX.vtt
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2.74 KB
06. Resume Review-L3F2BFGYMtI.mp4
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12.85 MB
06. Resume Review-L3F2BFGYMtI.pt-BR.vtt
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2.82 KB
06. Resume Review-L3F2BFGYMtI.zh-CN.vtt
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2.4 KB
06. Resume Review.html
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6.41 KB
07. Resume Review (Career Change).html
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7.68 KB
08. Resources in Your Career Portal.html
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6.98 KB
Project Description - Resume Review Project (Career Change).html
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6.5 KB
Project Rubric - Resume Review Project (Career Change).html
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13.23 KB
img
career-portal-sidebar.png
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screen-shot-2017-10-31-at-1.06.42-pm.png
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1.2 MB
index.html
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4.41 KB
Part 08-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume
01. Convey Your Skills Concisely-xnQr3ohml9s.en.vtt
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2.36 KB
01. Convey Your Skills Concisely-xnQr3ohml9s.es-MX.vtt
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2.1 KB
01. Convey Your Skills Concisely-xnQr3ohml9s.mp4
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11.53 MB
01. Convey Your Skills Concisely-xnQr3ohml9s.pt-BR.vtt
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2.17 KB
01. Convey Your Skills Concisely-xnQr3ohml9s.zh-CN.vtt
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2.08 KB
01. Convey Your Skills Concisely.html
HTML
6.08 KB
02. Effective Resume Components-AiFcaHRGdEA.en.vtt
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2.53 KB
02. Effective Resume Components-AiFcaHRGdEA.es-MX.vtt
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2.54 KB
02. Effective Resume Components-AiFcaHRGdEA.mp4
MP4
13.24 MB
02. Effective Resume Components-AiFcaHRGdEA.pt-BR.vtt
VTT
2.58 KB
02. Effective Resume Components-AiFcaHRGdEA.zh-CN.vtt
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2.34 KB
02. Effective Resume Components.html
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6.07 KB
03. Resume Structure-POM0MqLTj98.en.vtt
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3.46 KB
03. Resume Structure-POM0MqLTj98.es-MX.vtt
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3.67 KB
03. Resume Structure-POM0MqLTj98.mp4
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12.18 MB
03. Resume Structure-POM0MqLTj98.pt-BR.vtt
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3.7 KB
03. Resume Structure-POM0MqLTj98.zh-CN.vtt
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3.26 KB
03. Resume Structure.html
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5.99 KB
04. Describe Your Work Experiences-B1LED4txinI.en.vtt
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1.75 KB
04. Describe Your Work Experiences-B1LED4txinI.es-MX.vtt
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1.81 KB
04. Describe Your Work Experiences-B1LED4txinI.mp4
MP4
9.49 MB
04. Describe Your Work Experiences-B1LED4txinI.pt-BR.vtt
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1.86 KB
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1.71 KB
04. Describe Your Work Experiences.html
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6.32 KB
05. Resume Reflection-8Cj_tCp8mls.en.vtt
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2.31 KB
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1.95 KB
05. Resume Reflection-8Cj_tCp8mls.mp4
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12.64 MB
05. Resume Reflection-8Cj_tCp8mls.pt-BR.vtt
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1.98 KB
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2.1 KB
05. Resume Reflection.html
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6 KB
06. Resume Review-L3F2BFGYMtI.en.vtt
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2.75 KB
06. Resume Review-L3F2BFGYMtI.es-MX.vtt
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2.74 KB
06. Resume Review-L3F2BFGYMtI.mp4
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12.85 MB
06. Resume Review-L3F2BFGYMtI.pt-BR.vtt
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2.82 KB
06. Resume Review-L3F2BFGYMtI.zh-CN.vtt
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2.4 KB
06. Resume Review.html
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6.49 KB
07. Resume Review (Prior Industry Experience).html
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7.76 KB
08. Resources in Your Career Portal.html
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7.06 KB
Project Description - Resume Review Project (Prior Industry Experience).html
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6.61 KB
Project Rubric - Resume Review Project (Prior Industry Experience).html
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12.97 KB
img
career-portal-sidebar.png
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screen-shot-2017-10-31-at-1.06.42-pm.png
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1.2 MB
index.html
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4.51 KB
Part 08-Module 03-Lesson 01_Craft Your Cover Letter
01. Get an Interview with a Cover Letter!-BH1KY63YfAM.en.vtt
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01. Get an Interview with a Cover Letter!-BH1KY63YfAM.es-MX.vtt
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2.71 KB
01. Get an Interview with a Cover Letter!-BH1KY63YfAM.mp4
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16.67 MB
01. Get an Interview with a Cover Letter!-BH1KY63YfAM.pt-BR.vtt
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2.78 KB
01. Get an Interview with a Cover Letter!-BH1KY63YfAM.zh-CN.vtt
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2.61 KB
01. Get an Interview with a Cover Letter!.html
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6.32 KB
02. Purpose of the Cover Letter.html
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5.79 KB
02. Purpose-7F7cMCTcyhM.en.vtt
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1.99 KB
02. Purpose-7F7cMCTcyhM.es-MX.vtt
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1.9 KB
02. Purpose-7F7cMCTcyhM.mp4
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8.24 MB
02. Purpose-7F7cMCTcyhM.pt-BR.vtt
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1.97 KB
02. Purpose-7F7cMCTcyhM.zh-CN.vtt
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1.97 KB
03. Cover Letter Components-DVvLiKedRw4.en.vtt
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03. Cover Letter Components-DVvLiKedRw4.es-MX.vtt
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03. Cover Letter Components.html
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04. Write the Introduction.html
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05. Write the Body.html
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06. Write the Conclusion-i3ozyhGPmIg.en.vtt
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06. Write the Conclusion.html
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07. Format-Xlqoq-SoJso.en.vtt
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07. Format-Xlqoq-SoJso.mp4
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07. Format.html
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08. Resources in Your Career Portal.html
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Project Description - Craft Your Cover Letter.html
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Project Rubric - Craft Your Cover Letter.html
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Part 09-Module 01-Lesson 01_Develop Your Personal Brand
01. Why Network-exjEm9Paszk.ar.vtt
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01. Why Network.html
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02. Elevator Pitch-S-nAHPrkQrQ.ar.vtt
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02. Why Use Elevator Pitches.html
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03. Personal Branding.html
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04. Meet Chris-0ccflD9x5WU.ar.vtt
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05. Elevator Pitch-0QtgTG49E9I.ar.vtt
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06. Pitching to a Recruiter-LxAdWaA-qTQ.ar.vtt
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07. Use Your Elevator Pitch-e-v60ieggSs.ar.vtt
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07. Use Your Elevator Pitch.html
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08. Resources in Your Career Portal.html
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img
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Part 09-Module 01-Lesson 02_LinkedIn Review
01. Using LinkedIn.html
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02. Resources in Your Career Portal.html
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Project Description - LinkedIn Profile Review Project.html
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Project Rubric - LinkedIn Profile Review Project.html
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index.html
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media
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Part 09-Module 01-Lesson 03_Udacity Professional Profile
01. Introduction.html
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02. Getting Started.html
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03. Customizing Your Profile.html
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04. Top Section.html
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05. Recruitment Data.html
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06. Skills.html
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07. Projects.html
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08. Experience.html
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09. Resources in Your Career Portal.html
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Project Description - Udacity Professional Profile Review.html
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Project Rubric - Udacity Professional Profile Review.html
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img
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index.html
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Part 09-Module 02-Lesson 01_GitHub Review
01. Introduction-Vnj2VNQROtI.ar.vtt
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02. GitHub profile important items-prvPVTjVkwQ.ar.vtt
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03. Good GitHub repository-qBi8Q1EJdfQ.ar.vtt
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04. Interview with Art - Part 1-ClLYamtaO-Q.ar.vtt
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05. Identify fixes for example “bad” profile-AF07y1oAim0.ar.vtt
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06. Quick Fixes #1.html
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07. Quick Fixes #2-It6AEuSDQw0.ar.vtt
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07. Quick Fixes #2.html
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08. Writing READMEs with Walter-DQEfT2Zq5_o.ar.vtt
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08. Writing READMEs with Walter.html
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09. Interview with Art - Part 2-Vvzl2J5K7-Y.ar.vtt
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09. Interview with Art - Part 2.html
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10. Commit messages best practices.html
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11. Reflect on your commit messages-_0AHmKkfjTo.ar.vtt
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11. Reflect on your commit messages.html
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12. Participating in open source projects-OxL-gMTizUA.ar.vtt
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12. Participating in open source projects-OxL-gMTizUA.mp4
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12. Participating in open source projects.html
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13. Interview with Art - Part 3-M6PKr3S1rPg.ar.vtt
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13. Interview with Art - Part 3.html
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14. Participating in open source projects 2-elZCLxVvJrY.ar.vtt
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15. Starring interesting repositories-U3FUxkm1MxI.ar.vtt
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16. Outro-dps7Ti6Lado.en.vtt
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16. Outro.html
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17. Resources in Your Career Portal.html
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Project Description - Optimize Your GitHub Profile.html
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Project Rubric - Optimize Your GitHub Profile.html
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img
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index.html
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Part 10-Module 01-Lesson 01_Ace Your Interview
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02. Interviewing Conversations-klqXp09Pen4.en.vtt
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02. Interviews are Conversations.html
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03. STAR Method.html
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index.html
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Part 10-Module 01-Lesson 02_Practice Behavioral Questions
01. Introduction.html
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02. Self-Practice Behavioral Questions.html
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03. Analyzing Behavioral Answers.html
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05. What Motivates You at the Workplace-Aa9SFwiRbho.en.vtt
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06. A Problem and How You Dealt With It-7IKqdW30GvQ.en.vtt
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07. What Do You Know About the Company-CcTfHemUvbM.en.vtt
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08. Time When You Dealt With Failure-Qb4o_4hCuyg.en.vtt
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index.html
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Part 10-Module 01-Lesson 03_Interview Fails
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01. Interview Fails.html
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02. Interviewing Fails Mike Wales-OGXRmzBglI4.en.vtt
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03. Interviewing Fails Siya Raj Purohit-wYop-N5YgeA.en.vtt
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04. Interviewing Fails Lyla Fujiwara-CgK2HxdJzc8.en.vtt
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index.html
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Part 10-Module 01-Lesson 04_Land a Job Offer
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Part 10-Module 01-Lesson 05_Interview Practice
01. Introduction.html
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01. Machine Learning Interview-y0yKRmgDKY4.en.vtt
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02. Mindset and Skills-OvjI0rveWnM.en.vtt
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03. Analyzing an Interview.html
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04. Q1 - Predict Rain-2HY0Yr5FRn0.en.vtt
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05. Q2 - Identify Fish-bXpONCq5ePE.en.vtt
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06. Q3 - Detect Plagiarism-B3w_msqHP68.en.vtt
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07. Q4 - Reduce Data Dimensionality-NzzpasA9GsM.en.vtt
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08. Q5 - Describe Your ML Project-jjdbGD4CBGk.en.vtt
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08. Q5 - Describe Your ML Project-jjdbGD4CBGk.mp4
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08. Q5 - Describe Your ML Project-r7g0Z-54vg0.en.vtt
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08. Q5 - Describe Your ML Project.html
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09. Q6 - Explain How SVMs Work-RyThtU8GcT0.en.vtt
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10. Arpan's Analysis of the Interview.html
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10. Conclusion-mnQ2n026Y2o.en.vtt
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11. Keep Practicing!.html
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12. Resources in Your Career Portal.html
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Project Description - ML Interview Practice.html
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Project Rubric - ML Interview Practice.html
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Part 10-Module 02-Lesson 01_Introduction and Efficiency
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01. Course Introduction.html
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02. Course Outline.html
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03. Course Expectations.html
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04. Syntax-08M93RaBSgU.en-US.vtt
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04. Syntax-08M93RaBSgU.mp4
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04. Syntax.html
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05. Python Practice.html
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06. Python The Basics.html
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07. Efficiency-I-RASDPbDrI.en-US.vtt
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08. Notation Intro-xHwIU4j3gBc.en-US.vtt
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09. Notation Continued-ZeGnkrKZWBQ.en-US.vtt
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10. Worst Case and Approximation-ZYcmui02J40.en-US.vtt
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10. Worst Case and Approximation.html
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11. Efficiency Practice.html
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Part 10-Module 02-Lesson 02_List-Based Collections
01. Welcome to Collections-cZORvZq-tI0.en-US.vtt
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02. Lists-KUQSgUMtyv0.en-US.vtt
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03. Arrays-OnPP5xDmFv0.en-US.vtt
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04. Python Lists.html
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05. Linked Lists-zxkpZrozDUk.en-US.vtt
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06. Linked Lists in Depth-ZONGA5wmREI.en-US.vtt
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07. Linked List Practice.html
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08. Stacks-DQoCO8aGcNc.en-US.vtt
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09. Stacks Details-HpaVHzDeZC4.en-US.vtt
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10. Stack Practice.html
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11. Queues-XAbzlilAHZw.en-US.vtt
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Part 10-Module 02-Lesson 03_Searching and Sorting
01. Binary Search-0VN5iwEyq4c.en-US.vtt
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01. Binary Search.html
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02. Efficiency of Binary Search-7WbRB7dSyvc.en-US.vtt
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02. Efficiency of Binary Search-7WbRB7dSyvc.mp4
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02. Efficiency of Binary Search.html
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03. Binary Search Practice.html
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04. Recursion-_aI2Jch6Epk.en-US.vtt
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06. Intro to Sorting-Z6yuIen71zM.en-US.vtt
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07. Bubble Sort-h_osLG3GmjE.en-US.vtt
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08. Efficiency of Bubble Sort-KddkHygi7is.en-US.vtt
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10. Merge Sort-K916wfSzKxE.en-US.vtt
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11. Efficiency of Merge Sort-HKiK5Y-YSkk.en-US.vtt
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12. Merge Sort Practice.html
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13. Quick Sort-kUon6854joI.en-US.vtt
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14. Efficiency of Quick Sort-aMb5GHPGQ1U.en-US.vtt
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15. Quick Sort Practice.html
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Part 10-Module 02-Lesson 04_Maps and Hashing
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02. Sets and Maps-gmIb-qZhTDQ.en-US.vtt
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02. Sets and Maps-gmIb-qZhTDQ.pt-BR.vtt
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03. Python Dictionaries.html
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04. Introduction to Hashing-8yik3RlDFgM.en-US.vtt
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05. Hashing-kCPFfHx_LgQ.en-US.vtt
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06. Collisions-BUaWIjZ_ToY.en-US.vtt
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07. Load Factor.html
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08. Hash Maps-A-ahUVi8pYQ.en-US.vtt
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09. String Keys-WyFwieF1NN4.en-US.vtt
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10. String Keys Practice.html
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Part 10-Module 02-Lesson 05_Trees
01. Trees-PXie7f22v2Q.en-US.vtt
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02. Tree Basics-oaxLPzaXRDc.en-US.vtt
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03. Tree Terminology-mPUsDUR_sj8.en-US.vtt
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05. Tree Traversal-KZOdmzypynw.en-US.vtt
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06. Depth-First Traversals-wp5ohHFTieM.en-US.vtt
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07. Tree Traversal Practice.html
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08. Search and Delete-KbL-HK3ztX8.en-US.vtt
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09. Insert-j6PkPa2ZHWg.en-US.vtt
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10. Binary Search Trees-7-ZQrugO-Yc.en-US.vtt
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11. Binary Tree Practice.html
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12. BSTs-abRNGLhGUmE.en-US.vtt
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13. BST Complications-pcB0wV7myy4.mp4
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14. BST Practice.html
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15. Heaps-M3B0UJWS_ag.en-US.vtt
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16. Heapify-CAbDbiCfERY.en-US.vtt
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18. Self-Balancing Trees-EHI548K3jiw.en-US.vtt
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19. Red-Black Trees - Insertion-dIuWLtWnkgs.en-US.vtt
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20. Tree Rotations-O5Yl-m0YbVA.en-US.vtt
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Part 10-Module 02-Lesson 06_Graphs
01. Graph Introduction-DFR8F2Q9lgo.en-US.vtt
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01. Graph Introduction-DFR8F2Q9lgo.mp4
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02. What Is a Graph-p-_DFOyEMV8.en-US.vtt
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02. What Is a Graph-p-_DFOyEMV8.mp4
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03. Directions and Cycles-lF0vUktQDPo.en-US.vtt
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03. Directions and Cycles.html
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04. Connectivity-4x6u2KtNDg4.en-US.vtt
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04. Connectivity.html
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05. Graph Practice.html
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06. Graph Representations-uw9u6dtl0WA.en-US.vtt
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07. Adjacency Matrices-FsFhoTALA1c.en-US.vtt
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08. Graph Representation Practice.html
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09. Graph Traversal-Dkt-XxHZaZE.en-US.vtt
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10. DFS-BC8jEidd2EQ.en-US.vtt
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11. BFS-pol4kGNlvJA.en-US.vtt
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11. BFS-pol4kGNlvJA.mp4
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11. BFS.html
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12. Graph Traversal Practice.html
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13. Eulerian Path-zS34kHSo7fs.en-US.vtt
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img
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index.html
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Part 10-Module 02-Lesson 07_Case Studies in Algorithms
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01. Case Study Introduction-r8uEDyBylHY.pt-BR.vtt
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01. Case Study Introduction.html
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02. Shortest Path Problem-huKUM97Vve8.en-US.vtt
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02. Shortest Path Problem-huKUM97Vve8.mp4
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03. Dijkstra's Algorithm-SoPMK03cOgk.en-US.vtt
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04. Knapsack Problem--xRKazHGtjU.en-US.vtt
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05. A Faster Algorithm-J7S3CHFBZJA.en-US.vtt
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06. Dynamic Programming-VQeFcG9pjJU.en-US.vtt
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07. Traveling Salesman Problem-9ruR5Ux63QU.en-US.vtt
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08. Exact and Approximate Algorithms-3A8YqOYlAwQ.en-US.vtt
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index.html
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Part 10-Module 02-Lesson 08_Technical Interview - Python
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02. Clarifying the Question-XvvKBmKC_84.en-US.vtt
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03. Confirming Inputs-8lPTOG1yLsg.en-US.vtt
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04. Test Cases-7CNatJ7PqZ4.en-US.vtt
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05. Brainstorming-LJFYhMDCCsU.en-US.vtt
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06. Runtime Analysis-8bI9OgOB2qI.en-US.vtt
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07. Coding-zhQYREUI8Z0.en-US.vtt
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10. Interview Wrap-Up-sz4Ekcu9a_Q.en-US.vtt
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11. Time for Live Practice with Pramp.html
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12. Next Steps.html
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13. Resources in Your Career Portal.html
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14. Project Description.html
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Project Description - Technical Interview Practice.html
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Project Rubric - Technical Interview Practice.html
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Part 11-Module 01-Lesson 01_Software and Tools
01. TensorFlow.html
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index.html
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Part 11-Module 01-Lesson 02_Deep Learning
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03. Deep Learning What You'll Do.html
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index.html
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Part 11-Module 02-Lesson 01_Intro to TensorFlow
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02. Solving Problems - Big And Small-WHcRQMGSbqg.en.vtt
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03. Let'S Get Started-ySIDqaXLhHw.en.vtt
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04. Installing TensorFlow.html
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05. Hello, Tensor World!.html
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06. Transition to Classification.html
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08. Training Your Logistic Classifier .html
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09. Quiz TensorFlow Linear Function.html
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10. Quiz TensorFlow Softmax.html
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11. ReLU and Softmax Activation Functions.html
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12. 13 L One Hot Encoding-phYsxqlilUk.en.vtt
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13. Quiz TensorFlow Cross Entropy.html
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14. 16 L Minimizing Cross-Entropy-YrDMXFhvh9E.en-US.vtt
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15. Categorical Cross-Entropy.html
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16. 17 L Transition Into Practical Aspects Of Learning-bKqkRFOOKoA.en-US.vtt
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17. Numerical Stability-_SbGcOS-jcQ.en-US.vtt
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18. Normalized Inputs And Initial Weights-WaHQ9-UXIIg.en.vtt
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19. 21 L Measuring Performance-byP0DJImOSk.en-US.vtt
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20. 29 L Optimizing A Logistic Classifier-U_7nO1dm2tY.en-US.vtt
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21. 30 L Stochastic Gradient Descent-U9iEGUd9kJ0.en.vtt
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22. 31 L Momentum And Learning Rate Decay-O3QYdmQjXds.en.vtt
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23. 32 L Parameter Hyperspace!-5a3-iIhdguc.en.vtt
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24. Quiz Mini-batch.html
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25. Epochs.html
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Part 11-Module 03-Lesson 01_Intro to Neural Networks
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02. Logistic Regression - Question-kSs6O3R7JUI.en-US.vtt
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02. Logistic Regression Quiz.html
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03. Logistic Regression Answer.html
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04. Neural Networks-Mqogpnp1lrU.en.vtt
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04. Neural Networks.html
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05. Perceptron.html
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06. AND Perceptron Quiz.html
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07. OR & NOT Perceptron Quiz.html
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08. XOR Perceptron Quiz.html
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09. The Simplest Neural Network.html
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10. Gradient Descent-29PmNG7fuuM.en.vtt
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10. Gradient Descent.html
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11. Gradient Descent The Math.html
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13. Implementing Gradient Descent.html
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14. Multilayer Perceptrons.html
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16. Implementing Backpropagation.html
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Part 11-Module 04-Lesson 01_Deep Neural Networks
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06. Save and Restore TensorFlow Models.html
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11. Dropout RENDER-6DcImJS8uV8.en-US.vtt
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Part 11-Module 05-Lesson 01_Convolutional Neural Networks
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02. Color.html
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03. Statistical Invariance-0Hr5YwUUhr0.en.vtt
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03. Statistical Invariance.html
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04. Convolutional Networks-ISHGyvsT0QY.en.vtt
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04. Convolutional Networks.html
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05. Intuition.html
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06. Filters.html
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07. Feature Map Sizes.html
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08. Convolutions continued.html
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09. Parameters.html
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10. Quiz Convolution Output Shape.html
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11. Solution Convolution Output Shape.html
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12. Quiz Number of Parameters.html
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13. Solution Number of Parameters.html
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14. Quiz Parameter Sharing.html
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15. Solution Parameter Sharing.html
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16. Visualizing CNNs.html
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17. TensorFlow Convolution Layer.html
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18. Explore The Design Space.html
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18. Explore the Design Space-FG7M9tWH2nQ.en.vtt
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19. TensorFlow Max Pooling.html
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20. Quiz Pooling Intuition.html
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21. Solution Pooling Intuition.html
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22. Quiz Pooling Mechanics.html
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23. Solution Pooling Mechanics.html
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24. Quiz Pooling Practice.html
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25. Solution Pooling Practice.html
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26. Quiz Average Pooling.html
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27. Solution Average Pooling.html
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28. 1x1 Convolutions-Zmzgerm6SjA.en.vtt
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28. 1x1 Convolutions-Zmzgerm6SjA.mp4
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28. 1x1 Convolutions-Zmzgerm6SjA.zh-CN.vtt
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28. 1x1 Convolutions.html
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29. Inception Module-SlTm03bEOxA.en.vtt
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29. Inception Module-SlTm03bEOxA.mp4
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29. Inception Module-SlTm03bEOxA.zh-CN.vtt
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29. Inception Module.html
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30. Convolutional Network in TensorFlow.html
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31. TensorFlow Convolution Layer.html
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32. Solution TensorFlow Convolution Layer.html
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33. TensorFlow Pooling Layer.html
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34. Solution TensorFlow Pooling Layer.html
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35. CNNs - Additional Resources.html
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img
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index.html
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ReadMe.txt
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428 B
assets
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