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1. Bonus Lecture.html
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HTML
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1.6 KB
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1. Course flow.mp4
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MP4
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9.8 MB
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1. Course flow.srt
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SRT
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1.7 KB
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1. Gathering Business Knowledge.mp4
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MP4
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22.3 MB
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1. Gathering Business Knowledge.srt
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SRT
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3.9 KB
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1. Installing Python and Anaconda.mp4
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MP4
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18.6 MB
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1. Installing Python and Anaconda.srt
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SRT
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2.6 KB
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1. Introduction to Machine Learning.mp4
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MP4
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123.3 MB
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1. Introduction to Machine Learning.srt
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SRT
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18.4 KB
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1. Kernel Based Support Vector Machines.mp4
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MP4
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45.7 MB
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1. Kernel Based Support Vector Machines.srt
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SRT
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6.4 KB
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1. Regression and Classification Models.mp4
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MP4
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5.2 MB
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1. Regression and Classification Models.srt
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SRT
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819.2 B
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1. Support Vector classifiers.mp4
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MP4
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64.1 MB
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1. Support Vector classifiers.srt
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SRT
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9.7 KB
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1.1 Resources.zip
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ZIP
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1.4 MB
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10. Missing Value Imputation in Python.mp4
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MP4
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23.4 MB
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10. Missing Value Imputation in Python.srt
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SRT
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4.1 KB
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10. The Data set for the Classification problem.mp4
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MP4
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22 MB
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10. The Data set for the Classification problem.srt
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SRT
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1.8 KB
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10. Working with Seaborn Library of Python.mp4
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MP4
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48.6 MB
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10. Working with Seaborn Library of Python.srt
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SRT
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7.5 KB
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11. Classification model - Preprocessing.mp4
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MP4
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54.5 MB
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11. Classification model - Preprocessing.srt
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SRT
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8.2 KB
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11. Seasonality in Data.mp4
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MP4
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17 MB
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11. Seasonality in Data.srt
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SRT
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3.8 KB
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12. Bi-variate analysis and Variable transformation.mp4
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MP4
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100.4 MB
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12. Bi-variate analysis and Variable transformation.srt
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SRT
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18.3 KB
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12. Classification model - Standardizing the data.mp4
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MP4
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11.9 MB
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12. Classification model - Standardizing the data.srt
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SRT
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1.8 KB
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13. SVM Based classification model.mp4
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MP4
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78.5 MB
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13. SVM Based classification model.srt
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SRT
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11.5 KB
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13. Variable transformation and deletion in Python.mp4
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MP4
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44.1 MB
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13. Variable transformation and deletion in Python.srt
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SRT
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7.5 KB
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14. Hyper Parameter Tuning.mp4
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MP4
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70.8 MB
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14. Hyper Parameter Tuning.srt
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SRT
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9.8 KB
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14. Non-usable variables.mp4
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MP4
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20.2 MB
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14. Non-usable variables.srt
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SRT
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5.4 KB
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15. Dummy variable creation Handling qualitative data.mp4
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MP4
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36.8 MB
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15. Dummy variable creation Handling qualitative data.srt
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SRT
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4.9 KB
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15. Polynomial Kernel with Hyperparameter Tuning.mp4
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MP4
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22.9 MB
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15. Polynomial Kernel with Hyperparameter Tuning.srt
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SRT
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4.1 KB
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16. Dummy variable creation in Python.mp4
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MP4
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26.5 MB
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16. Dummy variable creation in Python.srt
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SRT
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5.5 KB
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16. Radial Kernel with Hyperparameter Tuning.mp4
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MP4
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45.7 MB
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16. Radial Kernel with Hyperparameter Tuning.srt
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SRT
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6.6 KB
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17. Correlation Analysis.mp4
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MP4
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71.6 MB
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17. Correlation Analysis.srt
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SRT
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11 KB
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18. Correlation Analysis in Python.mp4
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MP4
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55.3 MB
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18. Correlation Analysis in Python.srt
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SRT
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6.6 KB
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2. Building a Machine Learning Model.mp4
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MP4
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44.9 MB
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2. Building a Machine Learning Model.srt
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SRT
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9.7 KB
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2. Course resources.html
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HTML
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102.4 B
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2. Data Exploration.mp4
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MP4
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20.5 MB
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2. Data Exploration.srt
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SRT
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3.6 KB
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2. Limitations of Support Vector Classifiers.mp4
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MP4
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13 MB
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2. Limitations of Support Vector Classifiers.srt
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SRT
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1.6 KB
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2. Quiz.html
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HTML
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204.8 B
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2. The Concept of a Hyperplane.mp4
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MP4
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35.3 MB
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2. The Concept of a Hyperplane.srt
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SRT
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4.8 KB
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2. The Data set for the Regression problem.mp4
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MP4
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41.7 MB
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2. The Data set for the Regression problem.srt
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SRT
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3 KB
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2.1 Files_svm_py.zip
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ZIP
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1.8 MB
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3. Importing data for regression model.mp4
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MP4
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32.2 MB
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3. Importing data for regression model.srt
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SRT
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5.3 KB
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3. Maximum Margin Classifier.mp4
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MP4
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26.2 MB
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3. Maximum Margin Classifier.srt
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SRT
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83 MB
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3. Opening Jupyter Notebook.mp4
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MP4
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73 MB
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3. Opening Jupyter Notebook.srt
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SRT
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9.1 KB
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3. Quiz.html
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HTML
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204.8 B
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3. The Dataset and the Data Dictionary.mp4
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MP4
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69.4 MB
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3. The Dataset and the Data Dictionary.srt
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SRT
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7.8 KB
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4. Importing Data in Python.mp4
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MP4
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27.8 MB
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4. Importing Data in Python.srt
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SRT
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5.6 KB
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4. Introduction to Jupyter.mp4
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MP4
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50.9 MB
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4. Introduction to Jupyter.srt
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SRT
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12.4 KB
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4. Limitations of Maximum Margin Classifier.mp4
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MP4
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12.5 MB
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4. Limitations of Maximum Margin Classifier.srt
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SRT
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2.4 KB
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4. Missing value treatment.mp4
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MP4
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22.3 MB
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4. Missing value treatment.srt
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SRT
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3.1 KB
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4.1 House_Price.csv
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CSV
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53.5 KB
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5. Arithmetic operators in Python Python Basics.mp4
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MP4
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15.9 MB
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5. Arithmetic operators in Python Python Basics.srt
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SRT
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29.1 MB
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5. Dummy Variable creation.mp4
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MP4
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31.7 MB
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5. Dummy Variable creation.srt
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SRT
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4.7 KB
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5. Univariate analysis and EDD.mp4
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MP4
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24.2 MB
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5. Univariate analysis and EDD.srt
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SRT
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3.4 KB
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6. EDD in Python.mp4
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MP4
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61.8 MB
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6. EDD in Python.srt
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SRT
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10.4 KB
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6. Strings in Python Python Basics.mp4
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MP4
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80 MB
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6. Strings in Python Python Basics.srt
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SRT
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16.4 KB
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6. X-y Split.mp4
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MP4
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19.4 MB
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6. X-y Split.srt
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SRT
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3.8 KB
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7. Lists, Tuples and Directories Python Basics.mp4
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MP4
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73.2 MB
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7. Lists, Tuples and Directories Python Basics.srt
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SRT
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17 KB
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7. Outlier Treatment.mp4
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MP4
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24.5 MB
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7. Outlier Treatment.srt
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SRT
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4.5 KB
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7. Test-Train Split.mp4
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MP4
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27.5 MB
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7. Test-Train Split.srt
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SRT
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5.8 KB
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8. Outlier Treatment in Python.mp4
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MP4
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70.2 MB
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8. Outlier Treatment in Python.srt
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SRT
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13 KB
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8. Standardizing the data.mp4
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MP4
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47.3 MB
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8. Standardizing the data.srt
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SRT
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6.2 KB
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8. Working with Numpy Library of Python.mp4
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MP4
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53.8 MB
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8. Working with Numpy Library of Python.srt
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SRT
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10.5 KB
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9. Missing Value Imputation.mp4
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MP4
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25 MB
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9. Missing Value Imputation.srt
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SRT
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4.1 KB
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9. SVM based Regression Model in Python.mp4
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MP4
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79.8 MB
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9. SVM based Regression Model in Python.srt
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SRT
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9.7 KB
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9. Working with Pandas Library of Python.mp4
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MP4
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56.1 MB
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9. Working with Pandas Library of Python.srt
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SRT
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8.2 KB
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9.1 Customer.csv
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CSV
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64 KB
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Readme.txt
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TXT
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921.6 B
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[GigaCourse.com].url
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URL
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0 B
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![Udemy - Support Vector Machines in Python - SVM in Python 2019 [GC]](/static/img/no-torrent-image.png "Udemy - Support Vector Machines in Python - SVM in Python 2019 [GC]")
