Complete Machine Learning & Data Science Bootcamp 2021

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Complete Machine Learning & Data Science Bootcamp 2021

Torrent Contents Size: 19.23 GB

Complete Machine Learning & Data Science Bootcamp 2021
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1. Introduction
1. Course Outline.mp4
MP4
77.26 MB
1. Course Outline.srt
SRT
9.17 KB
2. Join Our Online Classroom!.html
HTML
2.63 KB
3. Exercise Meet The Community.html
HTML
3.04 KB
4. Your First Day.mp4
MP4
27.93 MB
4. Your First Day.srt
SRT
5.27 KB
10. Supervised Learning Classification + Regression
1. Milestone Projects!.html
HTML
738 B
11. Milestone Project 1 Supervised Learning (Classification)
1. Section Overview.mp4
MP4
10.19 MB
1. Section Overview.srt
SRT
3.11 KB
10. Finding Patterns 3.mp4
MP4
137.86 MB
10. Finding Patterns 3.srt
SRT
18.88 KB
11. Preparing Our Data For Machine Learning.mp4
MP4
72.61 MB
11. Preparing Our Data For Machine Learning.srt
SRT
12.02 KB
12. Choosing The Right Models.mp4
MP4
96.43 MB
12. Choosing The Right Models.srt
SRT
12.97 KB
13. Experimenting With Machine Learning Models.mp4
MP4
55.35 MB
13. Experimenting With Machine Learning Models.srt
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9.63 KB
14. TuningImproving Our Model.mp4
MP4
102.79 MB
14. TuningImproving Our Model.srt
SRT
17.64 KB
15. Tuning Hyperparameters.mp4
MP4
108.01 MB
15. Tuning Hyperparameters.srt
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15.67 KB
16. Tuning Hyperparameters 2.mp4
MP4
104.12 MB
16. Tuning Hyperparameters 2.srt
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15.1 KB
17. Tuning Hyperparameters 3.mp4
MP4
63.02 MB
17. Tuning Hyperparameters 3.srt
SRT
9.92 KB
18. Quick Note Confusion Matrix Labels.html
HTML
1.1 KB
19. Evaluating Our Model.mp4
MP4
71.6 MB
19. Evaluating Our Model.srt
SRT
15.1 KB
2. Project Overview.mp4
MP4
34.45 MB
2. Project Overview.srt
SRT
10.02 KB
2.1 End-to-end Heart Disease Classification Notebook (with annotations).html
HTML
201 B
2.2 Structured Data Projects on GitHub.html
HTML
155 B
2.3 End-to-end Heart Disease Classification Notebook (same as in videos).html
HTML
207 B
20. Evaluating Our Model 2.mp4
MP4
41.54 MB
20. Evaluating Our Model 2.srt
SRT
7.41 KB
21. Evaluating Our Model 3.mp4
MP4
64.84 MB
21. Evaluating Our Model 3.srt
SRT
11.55 KB
22. Finding The Most Important Features.mp4
MP4
127.49 MB
22. Finding The Most Important Features.srt
SRT
22.33 KB
23. Reviewing The Project.mp4
MP4
86.14 MB
23. Reviewing The Project.srt
SRT
13.81 KB
23.1 End-to-end Heart Disease Classification Notebook (same as in videos).html
HTML
207 B
23.2 End-to-end Heart Disease Classification Notebook (with annotations).html
HTML
201 B
3. Project Environment Setup.mp4
MP4
100.76 MB
3. Project Environment Setup.srt
SRT
14.39 KB
4. Optional Windows Project Environment Setup.mp4
MP4
35.84 MB
4. Optional Windows Project Environment Setup.srt
SRT
5.55 KB
5. Step 1~4 Framework Setup.mp4
MP4
105.51 MB
5. Step 1~4 Framework Setup.srt
SRT
16.6 KB
6. Getting Our Tools Ready.mp4
MP4
79.37 MB
6. Getting Our Tools Ready.srt
SRT
12.78 KB
7. Exploring Our Data.mp4
MP4
66.88 MB
7. Exploring Our Data.srt
SRT
11.4 KB
7.1 heart-disease.csv
CSV
11.06 KB
8. Finding Patterns.mp4
MP4
63.35 MB
8. Finding Patterns.srt
SRT
13.39 KB
9. Finding Patterns 2.mp4
MP4
99.92 MB
9. Finding Patterns 2.srt
SRT
22.32 KB
GetFreeCourses.Co.url
URL
116 B
12. Milestone Project 2 Supervised Learning (Time Series Data)
1. Section Overview.mp4
MP4
8.95 MB
1. Section Overview.srt
SRT
1.84 KB
10. Filling Missing Numerical Values.mp4
MP4
106.35 MB
10. Filling Missing Numerical Values.srt
SRT
16.94 KB
10.1 Pandas Categorical Datatype Documentation.html
HTML
143 B
11. Filling Missing Categorical Values.mp4
MP4
66.92 MB
11. Filling Missing Categorical Values.srt
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11.2 KB
12. Fitting A Machine Learning Model.mp4
MP4
55.53 MB
12. Fitting A Machine Learning Model.srt
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10.47 KB
13. Splitting Data.mp4
MP4
82.69 MB
13. Splitting Data.srt
SRT
13.51 KB
14. Challenge What's wrong with splitting data after filling it.html
HTML
1.72 KB
15. Custom Evaluation Function.mp4
MP4
103.34 MB
15. Custom Evaluation Function.srt
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16.11 KB
16. Reducing Data.mp4
MP4
93.48 MB
16. Reducing Data.srt
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14.62 KB
17. RandomizedSearchCV.mp4
MP4
85.84 MB
17. RandomizedSearchCV.srt
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12.65 KB
18. Improving Hyperparameters.mp4
MP4
79.3 MB
18. Improving Hyperparameters.srt
SRT
11.02 KB
19. Preproccessing Our Data.mp4
MP4
139.31 MB
19. Preproccessing Our Data.srt
SRT
17.8 KB
2. Project Overview.mp4
MP4
32.95 MB
2. Project Overview.srt
SRT
6.66 KB
2.1 Kaggle Bluebook for Bulldozers Competition.html
HTML
118 B
2.2 End-to-end Bluebook Bulldozer Regression Notebook (with annotations).html
HTML
208 B
2.3 End-to-end Bluebook Bulldozer Regression Notebook (same as in videos).html
HTML
214 B
2.4 Structured Data Projects on GitHub.html
HTML
155 B
20. Making Predictions.mp4
MP4
79.22 MB
20. Making Predictions.srt
SRT
11.37 KB
21. Feature Importance.mp4
MP4
142.3 MB
21. Feature Importance.srt
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17.26 KB
21.1 End-to-end Bluebook Bulldozer Regression Notebook (with annotations).html
HTML
208 B
21.2 End-to-end Bluebook Bulldozer Regression Notebook (same as in videos).html
HTML
214 B
3. Project Environment Setup.mp4
MP4
101.28 MB
3. Project Environment Setup.srt
SRT
15.91 KB
4. Step 1~4 Framework Setup.mp4
MP4
85.7 MB
4. Step 1~4 Framework Setup.srt
SRT
12.44 KB
5. Downloading the data for the next two projects.html
HTML
1.64 KB
6. Exploring Our Data.mp4
MP4
137.82 MB
6. Exploring Our Data.srt
SRT
19.97 KB
7. Exploring Our Data 2.mp4
MP4
52.05 MB
7. Exploring Our Data 2.srt
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8.6 KB
8. Feature Engineering.mp4
MP4
159.15 MB
8. Feature Engineering.srt
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22.13 KB
9. Turning Data Into Numbers.mp4
MP4
146.18 MB
9. Turning Data Into Numbers.srt
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22.32 KB
13. Data Engineering
1. Data Engineering Introduction.mp4
MP4
13.51 MB
1. Data Engineering Introduction.srt
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4.25 KB
10. Optional Learn SQL.html
HTML
410 B
11. Hadoop, HDFS and MapReduce.mp4
MP4
10.11 MB
11. Hadoop, HDFS and MapReduce.srt
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4.7 KB
12. Apache Spark and Apache Flink.mp4
MP4
5.76 MB
12. Apache Spark and Apache Flink.srt
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2.31 KB
13. Kafka and Stream Processing.mp4
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19.25 MB
13. Kafka and Stream Processing.srt
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5.05 KB
2. What Is Data.mp4
MP4
42.22 MB
2. What Is Data.srt
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7.62 KB
2.1 Kaggle.html
HTML
92 B
3. What Is A Data Engineer.mp4
MP4
15.16 MB
3. What Is A Data Engineer.srt
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4.9 KB
4. What Is A Data Engineer 2.mp4
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24.24 MB
4. What Is A Data Engineer 2.srt
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6.33 KB
5. What Is A Data Engineer 3.mp4
MP4
24.3 MB
5. What Is A Data Engineer 3.srt
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5.41 KB
6. What Is A Data Engineer 4.mp4
MP4
14.94 MB
6. What Is A Data Engineer 4.srt
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3.86 KB
7. Types Of Databases.mp4
MP4
32.55 MB
7. Types Of Databases.srt
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8.37 KB
7.1 OLTP vs OLAP.html
HTML
126 B
7.2 A Primer on ACID Transactions.html
HTML
117 B
8. Quick Note Upcoming Video.html
HTML
481 B
9. Optional OLTP Databases.mp4
MP4
79.68 MB
9. Optional OLTP Databases.srt
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12.11 KB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2
1. Section Overview.mp4
MP4
12.21 MB
1. Section Overview.srt
SRT
2.77 KB
10. Optional TensorFlow 2.0 Default Issue.mp4
MP4
28.11 MB
10. Optional TensorFlow 2.0 Default Issue.srt
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4.48 KB
11. Using A GPU.mp4
MP4
80.59 MB
11. Using A GPU.srt
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12.11 KB
11.1 Google Colab example GPU usage.html
HTML
114 B
12. Optional GPU and Google Colab.mp4
MP4
45.89 MB
12. Optional GPU and Google Colab.srt
SRT
5.99 KB
12.1 Introduction to Google Colab example notebook.html
HTML
116 B
12.2 Google Colab Example of GPU speed up versus CPU.html
HTML
114 B
13. Optional Reloading Colab Notebook.mp4
MP4
88.67 MB
13. Optional Reloading Colab Notebook.srt
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7.77 KB
14. Loading Our Data Labels.mp4
MP4
114.83 MB
14. Loading Our Data Labels.srt
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16.08 KB
15. Preparing The Images.mp4
MP4
133.89 MB
15. Preparing The Images.srt
SRT
15.12 KB
16. Turning Data Labels Into Numbers.mp4
MP4
107.46 MB
16. Turning Data Labels Into Numbers.srt
SRT
13.76 KB
17. Creating Our Own Validation Set.mp4
MP4
66.44 MB
17. Creating Our Own Validation Set.srt
SRT
11.32 KB
18. Preprocess Images.mp4
MP4
90.1 MB
18. Preprocess Images.srt
SRT
12.93 KB
18.2 Documentation for loading images in TensorFlow.html
HTML
114 B
19. Preprocess Images 2.mp4
MP4
105.07 MB
19. Preprocess Images 2.srt
SRT
12.89 KB
2. Deep Learning and Unstructured Data.mp4
MP4
102.05 MB
2. Deep Learning and Unstructured Data.srt
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20.2 KB
20. Turning Data Into Batches.mp4
MP4
87.77 MB
20. Turning Data Into Batches.srt
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11.61 KB
21. Turning Data Into Batches 2.mp4
MP4
149.38 MB
21. Turning Data Into Batches 2.srt
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20.15 KB
21.1 Yann LeCun's (OG of deep learning) Tweet on Batch Sizes.html
HTML
118 B
22. Visualizing Our Data.mp4
MP4
121.99 MB
22. Visualizing Our Data.srt
SRT
15.66 KB
23. Preparing Our Inputs and Outputs.mp4
MP4
50.07 MB
23. Preparing Our Inputs and Outputs.srt
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7.78 KB
25. Building A Deep Learning Model.mp4
MP4
121.85 MB
25. Building A Deep Learning Model.srt
SRT
15.92 KB
25.1 PyTorch Hub (PyTorch version of TensorFlow Hub).html
HTML
85 B
25.2 Andrei Karpathy's talk on AI at Tesla.html
HTML
95 B
25.3 MobileNetV2 (the model we're using) on TensorFlow Hub.html
HTML
132 B
26. Building A Deep Learning Model 2.mp4
MP4
105.91 MB
26. Building A Deep Learning Model 2.srt
SRT
12.54 KB
26.1 Keras in TensorFlow Overview Documentation.html
HTML
108 B
27. Building A Deep Learning Model 3.mp4
MP4
105.93 MB
27. Building A Deep Learning Model 3.srt
SRT
11.2 KB
27.3 The Softmax Function (activation function we use in our model).html
HTML
107 B
28. Building A Deep Learning Model 4.mp4
MP4
86.31 MB
28. Building A Deep Learning Model 4.srt
SRT
12.02 KB
29. Summarizing Our Model.mp4
MP4
45.44 MB
29. Summarizing Our Model.srt
SRT
5.98 KB
3. Setting Up With Google.html
HTML
568 B
30. Evaluating Our Model.mp4
MP4
79.3 MB
30. Evaluating Our Model.srt
SRT
10.42 KB
30.1 TensorBoard Callback Documentation.html
HTML
134 B
31. Preventing Overfitting.mp4
MP4
36.51 MB
31. Preventing Overfitting.srt
SRT
5.54 KB
32. Training Your Deep Neural Network.mp4
MP4
166.61 MB
32. Training Your Deep Neural Network.srt
SRT
23.07 KB
33. Evaluating Performance With TensorBoard.mp4
MP4
74.18 MB
33. Evaluating Performance With TensorBoard.srt
SRT
9.57 KB
34. Make And Transform Predictions.mp4
MP4
154.99 MB
34. Make And Transform Predictions.srt
SRT
19.18 KB
35. Transform Predictions To Text.mp4
MP4
129.87 MB
35. Transform Predictions To Text.srt
SRT
17.58 KB
35.1 TensorFlow documentation for the unbatch() function.html
HTML
127 B
36. Visualizing Model Predictions.mp4
MP4
119.32 MB
36. Visualizing Model Predictions.srt
SRT
17.02 KB
37. Visualizing And Evaluate Model Predictions 2.mp4
MP4
143.79 MB
37. Visualizing And Evaluate Model Predictions 2.srt
SRT
17.64 KB
38. Visualizing And Evaluate Model Predictions 3.mp4
MP4
113.21 MB
38. Visualizing And Evaluate Model Predictions 3.srt
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13.82 KB
39. Saving And Loading A Trained Model.mp4
MP4
126.98 MB
39. Saving And Loading A Trained Model.srt
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16.85 KB
4. Setting Up Google Colab.mp4
MP4
74.24 MB
4. Setting Up Google Colab.srt
SRT
9.64 KB
4.4 Google Colab (our workspace for the upcoming project).html
HTML
95 B
4.5 Introduction to Google Colab example notebook.html
HTML
116 B
40. Training Model On Full Dataset.mp4
MP4
139.83 MB
40. Training Model On Full Dataset.srt
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19.17 KB
41. Making Predictions On Test Images.mp4
MP4
140.84 MB
41. Making Predictions On Test Images.srt
SRT
20.31 KB
41.1 Dog Vision Prediction Probabilities Array.html
HTML
170 B
42. Submitting Model to Kaggle.mp4
MP4
121.35 MB
42. Submitting Model to Kaggle.srt
SRT
16.58 KB
43. Making Predictions On Our Images.mp4
MP4
119.24 MB
43. Making Predictions On Our Images.srt
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18.57 KB
43.1 End-to-end Dog Vision Notebook (from the videos).html
HTML
191 B
43.2 End-to-end Dog Vision Notebook (with annotations).html
HTML
185 B
44. Finishing Dog Vision Where to next.html
HTML
3.86 KB
5. Google Colab Workspace.mp4
MP4
39.63 MB
5. Google Colab Workspace.srt
SRT
6.32 KB
5.1 Google Colab FAQ (things you should know about Google Colab).html
HTML
110 B
5.2 Google Colab (our workspace for the upcoming project).html
HTML
95 B
6. Uploading Project Data.mp4
MP4
51.98 MB
6. Uploading Project Data.srt
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8.64 KB
6.2 Kaggle Dog Breed Identification Competition Data.html
HTML
115 B
7. Setting Up Our Data.mp4
MP4
42.26 MB
7. Setting Up Our Data.srt
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6.38 KB
8. Setting Up Our Data 2.mp4
MP4
20.88 MB
8. Setting Up Our Data 2.srt
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2.18 KB
9. Importing TensorFlow 2.mp4
MP4
116.76 MB
9. Importing TensorFlow 2.srt
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16.79 KB
15. Storytelling + Communication How To Present Your Work
1. Section Overview.mp4
MP4
10.93 MB
1. Section Overview.srt
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3.29 KB
2. Communicating Your Work.mp4
MP4
20.21 MB
2. Communicating Your Work.srt
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4.84 KB
2.1 How to Think About Communicating and Sharing Your Work (blog post).html
HTML
142 B
3. Communicating With Managers.mp4
MP4
18.39 MB
3. Communicating With Managers.srt
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4.53 KB
4. Communicating With Co-Workers.mp4
MP4
19 MB
4. Communicating With Co-Workers.srt
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5.54 KB
5. Weekend Project Principle.mp4
MP4
23.59 MB
5. Weekend Project Principle.srt
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8.98 KB
6. Communicating With Outside World.mp4
MP4
14.52 MB
6. Communicating With Outside World.srt
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4.51 KB
6.1 Devblog by Hashnode (an easy and free way to create a blog you own).html
HTML
89 B
7. Storytelling.mp4
MP4
12.03 MB
7. Storytelling.srt
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4.1 KB
8. Communicating and sharing your work Further reading.html
HTML
3.14 KB
16. Career Advice + Extra Bits
1. Endorsements On LinkedIn.html
HTML
2.05 KB
10. CWD Git + Github 2.mp4
MP4
118.36 MB
10. CWD Git + Github 2.srt
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18.25 KB
11. Contributing To Open Source.mp4
MP4
130.26 MB
11. Contributing To Open Source.srt
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17.13 KB
12. Contributing To Open Source 2.mp4
MP4
113.04 MB
12. Contributing To Open Source 2.srt
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10.18 KB
13. Coding Challenges.html
HTML
948 B
14. Exercise Contribute To Open Source.html
HTML
1.45 KB
2. Quick Note Upcoming Video.html
HTML
587 B
3. What If I Don't Have Enough Experience.mp4
MP4
160.94 MB
3. What If I Don't Have Enough Experience.srt
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19.98 KB
4. Learning Guideline.html
HTML
325 B
5. Quick Note Upcoming Videos.html
HTML
565 B
6. JTS Learn to Learn.mp4
MP4
11.15 MB
6. JTS Learn to Learn.srt
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2.49 KB
7. JTS Start With Why.mp4
MP4
15.44 MB
7. JTS Start With Why.srt
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2.96 KB
8. Quick Note Upcoming Videos.html
HTML
352 B
9. CWD Git + Github.mp4
MP4
176.11 MB
9. CWD Git + Github.srt
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21.17 KB
17. Learn Python
1. What Is A Programming Language.mp4
MP4
104.78 MB
1. What Is A Programming Language.srt
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7.04 KB
10. How To Succeed.html
HTML
280 B
11. Numbers.mp4
MP4
72.71 MB
11. Numbers.srt
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11.13 KB
11.1 Floating point numbers.html
HTML
104 B
12. Math Functions.mp4
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41.82 MB
12. Math Functions.srt
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5.43 KB
13. DEVELOPER FUNDAMENTALS I.mp4
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59.72 MB
13. DEVELOPER FUNDAMENTALS I.srt
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5.22 KB
14. Operator Precedence.mp4
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14.43 MB
14. Operator Precedence.srt
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3.5 KB
14.1 Exercise Repl.html
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106 B
15. Exercise Operator Precedence.html
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683 B
15.1 Exercise Repl.html
HTML
106 B
16. Optional bin() and complex.mp4
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21.91 MB
16. Optional bin() and complex.srt
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4.8 KB
16.1 Base Numbers.html
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111 B
17. Variables.mp4
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93.56 MB
17. Variables.srt
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16.04 KB
17.1 Python Keywords.html
HTML
117 B
18. Expressions vs Statements.mp4
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10.98 MB
18. Expressions vs Statements.srt
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1.72 KB
19. Augmented Assignment Operator.mp4
MP4
15.33 MB
19. Augmented Assignment Operator.srt
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2.95 KB
19.1 Exercise Repl.html
HTML
116 B
2. Python Interpreter.mp4
MP4
78.01 MB
2. Python Interpreter.srt
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8.47 KB
2.1 python.org.html
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84 B
20. Strings.mp4
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30.99 MB
20. Strings.srt
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6.29 KB
21. String Concatenation.mp4
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7.34 MB
21. String Concatenation.srt
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1.42 KB
22. Type Conversion.mp4
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19 MB
22. Type Conversion.srt
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3.09 KB
23. Escape Sequences.mp4
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23.16 MB
23. Escape Sequences.srt
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5.01 KB
24. Formatted Strings.mp4
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49.26 MB
24. Formatted Strings.srt
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8.84 KB
24.1 Exercise Repl.html
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104 B
25. String Indexes.mp4
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49.16 MB
25. String Indexes.srt
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9.21 KB
25.1 Exercise Repl.html
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101 B
26. Immutability.mp4
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20.8 MB
26. Immutability.srt
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3.5 KB
27. Built-In Functions + Methods.mp4
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69.4 MB
27. Built-In Functions + Methods.srt
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10.27 KB
27.1 String Methods.html
HTML
115 B
27.2 Built in Functions.html
HTML
109 B
28. Booleans.mp4
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16.56 MB
28. Booleans.srt
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3.94 KB
29. Exercise Type Conversion.mp4
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50.35 MB
29. Exercise Type Conversion.srt
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8.58 KB
3. How To Run Python Code.mp4
MP4
52.86 MB
3. How To Run Python Code.srt
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6.56 KB
3.1 Glot.io.html
HTML
77 B
3.2 Repl.it.html
HTML
77 B
30. DEVELOPER FUNDAMENTALS II.mp4
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29.25 MB
30. DEVELOPER FUNDAMENTALS II.srt
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5.3 KB
30.1 Python Comments Best Practices.html
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106 B
31. Exercise Password Checker.mp4
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51.09 MB
31. Exercise Password Checker.srt
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7.89 KB
32. Lists.mp4
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21.97 MB
32. Lists.srt
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5.57 KB
33. List Slicing.mp4
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49.86 MB
33. List Slicing.srt
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8.5 KB
33.1 Exercise Repl.html
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92 B
34. Matrix.mp4
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19.16 MB
34. Matrix.srt
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4.13 KB
34.1 Exercise Repl.html
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93 B
35. List Methods.mp4
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61.76 MB
35. List Methods.srt
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10.75 KB
35.1 List Methods.html
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113 B
36. List Methods 2.mp4
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27.4 MB
36. List Methods 2.srt
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4.48 KB
36.1 Python Keywords.html
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117 B
36.2 Exercise Repl.html
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94 B
37. List Methods 3.mp4
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27.67 MB
37. List Methods 3.srt
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5.01 KB
38. Common List Patterns.mp4
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40.47 MB
38. Common List Patterns.srt
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5.83 KB
38.1 Exercise Repl.html
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94 B
39. List Unpacking.mp4
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13.87 MB
39. List Unpacking.srt
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2.91 KB
4. Our First Python Program.mp4
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47.2 MB
4. Our First Python Program.srt
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40. None.mp4
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7.93 MB
40. None.srt
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2.19 KB
41. Dictionaries.mp4
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32.7 MB
41. Dictionaries.srt
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7.09 KB
42. DEVELOPER FUNDAMENTALS III.mp4
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26.64 MB
42. DEVELOPER FUNDAMENTALS III.srt
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3.59 KB
43. Dictionary Keys.mp4
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20.38 MB
43. Dictionary Keys.srt
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4.17 KB
44. Dictionary Methods.mp4
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19. Quick Tip How ML Algorithms Work.srt
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2. Scikit-learn Introduction.mp4
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40.63 MB
2. Scikit-learn Introduction.srt
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2.1 Scikit-Learn Documentation.html
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108 B
2.2 Introduction to Scikit-Learn Jupyter Notebook (from the upcoming videos).html
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197 B
2.3 Introduction to Scikit-Learn Jupyter Notebook (with annotations).html
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191 B
20. Choosing The Right Model For Your Data 3 (Classification).mp4
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118.84 MB
20. Choosing The Right Model For Your Data 3 (Classification).srt
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21. Fitting A Model To The Data.mp4
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21. Fitting A Model To The Data.srt
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22. Making Predictions With Our Model.mp4
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66.5 MB
22. Making Predictions With Our Model.srt
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23. predict() vs predict_proba().mp4
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23. predict() vs predict_proba().srt
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24. Making Predictions With Our Model (Regression).mp4
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24. Making Predictions With Our Model (Regression).srt
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25. Evaluating A Machine Learning Model (Score).mp4
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25. Evaluating A Machine Learning Model (Score).srt
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26. Evaluating A Machine Learning Model 2 (Cross Validation).mp4
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26. Evaluating A Machine Learning Model 2 (Cross Validation).srt
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27. Evaluating A Classification Model 1 (Accuracy).mp4
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27. Evaluating A Classification Model 1 (Accuracy).srt
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28. Evaluating A Classification Model 2 (ROC Curve).mp4
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28. Evaluating A Classification Model 2 (ROC Curve).srt
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29. Evaluating A Classification Model 3 (ROC Curve).mp4
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29. Evaluating A Classification Model 3 (ROC Curve).srt
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3. Quick Note Upcoming Video.html
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390 B
30. Reading Extension ROC Curve + AUC.html
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1.48 KB
31. Evaluating A Classification Model 4 (Confusion Matrix).mp4
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77.73 MB
31. Evaluating A Classification Model 4 (Confusion Matrix).srt
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31.1 Notebook from video with updated confusion matrix labels.html
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191 B
32. Evaluating A Classification Model 5 (Confusion Matrix).mp4
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63.78 MB
32. Evaluating A Classification Model 5 (Confusion Matrix).srt
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33. Evaluating A Classification Model 6 (Classification Report).mp4
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33. Evaluating A Classification Model 6 (Classification Report).srt
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34. Evaluating A Regression Model 1 (R2 Score).mp4
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34. Evaluating A Regression Model 1 (R2 Score).srt
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35. Evaluating A Regression Model 2 (MAE).mp4
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35. Evaluating A Regression Model 2 (MAE).srt
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36. Evaluating A Regression Model 3 (MSE).mp4
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36. Evaluating A Regression Model 3 (MSE).srt
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37. Machine Learning Model Evaluation.html
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38. Evaluating A Model With Cross Validation and Scoring Parameter.mp4
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91.49 MB
38. Evaluating A Model With Cross Validation and Scoring Parameter.srt
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39. Evaluating A Model With Scikit-learn Functions.mp4
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39. Evaluating A Model With Scikit-learn Functions.srt
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4. Refresher What Is Machine Learning.mp4
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4. Refresher What Is Machine Learning.srt
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40. Improving A Machine Learning Model.mp4
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40. Improving A Machine Learning Model.srt
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41. Tuning Hyperparameters.mp4
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41. Tuning Hyperparameters.srt
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42. Tuning Hyperparameters 2.mp4
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42. Tuning Hyperparameters 2.srt
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43. Tuning Hyperparameters 3.mp4
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43. Tuning Hyperparameters 3.srt
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44. Note Metric Comparison Improvement.html
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45. Quick Tip Correlation Analysis.mp4
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45. Quick Tip Correlation Analysis.srt
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46. Saving And Loading A Model.mp4
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46. Saving And Loading A Model.srt
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47. Saving And Loading A Model 2.mp4
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47. Saving And Loading A Model 2.srt
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48. Putting It All Together.mp4
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48. Putting It All Together.srt
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48.1 Reading extension Scikit-Learn's Pipeline class explained.html
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49. Putting It All Together 2.mp4
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49. Putting It All Together 2.srt
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49.1 Introduction to Scikit-Learn Jupyter Notebook (from the videos).html
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49.2 Introduction to Scikit-Learn Jupyter Notebook (with annotations).html
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5. Quick Note Upcoming Videos.html
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50. Scikit-Learn Practice.html
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6. Scikit-learn Cheatsheet.mp4
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6. Scikit-learn Cheatsheet.srt
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6.1 Scikit-Learn Reference Notebook.html
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7. Typical scikit-learn Workflow.mp4
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7. Typical scikit-learn Workflow.srt
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7.1 Example Scikit-Learn Workflow Notebook.html
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8. Optional Debugging Warnings In Jupyter.mp4
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8. Optional Debugging Warnings In Jupyter.srt
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9. Getting Your Data Ready Splitting Your Data.mp4
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9. Getting Your Data Ready Splitting Your Data.srt
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9.1 scikit-learn-data.zip
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Download Paid Udemy Courses For Free.url
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GetFreeCourses.Co.url
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How you can help GetFreeCourses.Co.txt
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