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1. Competitions on Kaggle Lesson 1.mp4
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MP4
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174.9 MB
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1. Competitions on Kaggle Lesson 1.srt
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SRT
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30.9 KB
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1. Courses in Kaggle.mp4
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MP4
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48 MB
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1. Courses in Kaggle.srt
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SRT
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8.7 KB
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1. Datasets on Kaggle.mp4
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MP4
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122.6 MB
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1. Datasets on Kaggle.srt
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SRT
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22.4 KB
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1. Dropping Columns with Low Correlation.mp4
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MP4
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24.8 MB
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1. Dropping Columns with Low Correlation.srt
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SRT
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5.2 KB
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1. Examining Missing Values.mp4
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MP4
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42.4 MB
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1. Examining Missing Values.srt
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SRT
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13.2 KB
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1. Examining the Code Section in Kaggle Lesson 1.mp4
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MP4
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73.4 MB
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1. Examining the Code Section in Kaggle Lesson 1.srt
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SRT
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18.1 KB
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1. First Step to the Hearth Attack Prediction Project.mp4
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MP4
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108.6 MB
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1. First Step to the Hearth Attack Prediction Project.srt
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SRT
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21.4 KB
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1. Kaggle Masterclass with Hearth Attack Prediction Project.html
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HTML
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307.2 B
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1. Logistic Regression.mp4
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MP4
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27.3 MB
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1. Logistic Regression.srt
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SRT
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9.1 KB
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1. Numeric Variables (Analysis with Distplot) Lesson 1.mp4
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MP4
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74.6 MB
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1. Numeric Variables (Analysis with Distplot) Lesson 1.srt
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SRT
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20.2 KB
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1. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 1.mp4
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MP4
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45.4 MB
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1. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 1.srt
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SRT
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11.3 KB
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1. Project Conclusion and Sharing.mp4
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MP4
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27 MB
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1. Project Conclusion and Sharing.srt
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SRT
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4.9 KB
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1. Required Python Libraries.mp4
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MP4
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58.7 MB
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1. Required Python Libraries.srt
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SRT
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12.8 KB
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1. User Page Review on Kaggle.mp4
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MP4
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74.8 MB
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1. User Page Review on Kaggle.srt
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SRT
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13.9 KB
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1. What is Discussion on Kaggle.mp4
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MP4
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37.8 MB
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1. What is Discussion on Kaggle.srt
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SRT
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7.7 KB
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1. What is Kaggle.mp4
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MP4
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122.4 MB
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1. What is Kaggle.srt
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SRT
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23 KB
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10. Feature Scaling with the Robust Scaler Method for Machine Learning Algorithms.mp4
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MP4
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10.6 MB
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10. Feature Scaling with the Robust Scaler Method for Machine Learning Algorithms.srt
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SRT
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3.1 KB
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10. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 2.mp4
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MP4
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64 MB
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10. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 2.srt
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SRT
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15.4 KB
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11. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 1.mp4
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MP4
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36 MB
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11. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 1.srt
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SRT
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10.1 KB
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11. Separating Data into Test and Training Set.mp4
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MP4
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27.8 MB
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11. Separating Data into Test and Training Set.srt
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SRT
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9.4 KB
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12. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 2.mp4
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MP4
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32.8 MB
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12. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 2.srt
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SRT
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10.3 KB
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13. Relationships between variables (Analysis with Heatmap) Lesson 1.mp4
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MP4
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33.7 MB
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13. Relationships between variables (Analysis with Heatmap) Lesson 1.srt
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SRT
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8.7 KB
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14. Relationships between variables (Analysis with Heatmap) Lesson 2.mp4
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MP4
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82.5 MB
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14. Relationships between variables (Analysis with Heatmap) Lesson 2.srt
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SRT
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16 KB
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2. Competitions on Kaggle Lesson 2.mp4
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MP4
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179.5 MB
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2. Competitions on Kaggle Lesson 2.srt
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SRT
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30 KB
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2. Cross Validation.mp4
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MP4
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28.2 MB
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2. Cross Validation.srt
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SRT
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7.6 KB
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2. Examining Unique Values.mp4
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MP4
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41 MB
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2. Examining Unique Values.srt
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SRT
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12.9 KB
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2. Examining the Code Section in Kaggle Lesson 2.mp4
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MP4
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98 MB
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2. Examining the Code Section in Kaggle Lesson 2.srt
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SRT
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21.3 KB
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2. FAQ about Kaggle.html
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HTML
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10.9 KB
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2. FAQ about Machine Learning, Data Science.html
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HTML
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15.3 KB
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2. Loading the Statistics Dataset in Data Science.mp4
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MP4
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9.3 MB
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2. Loading the Statistics Dataset in Data Science.srt
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SRT
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2.7 KB
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2. Numeric Variables (Analysis with Distplot) Lesson 2.mp4
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MP4
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18.3 MB
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2. Numeric Variables (Analysis with Distplot) Lesson 2.srt
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SRT
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5.3 KB
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2. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 2.mp4
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MP4
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32.8 MB
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2. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 2.srt
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SRT
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9.7 KB
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2. Ranking Among Users on Kaggle.mp4
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MP4
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99.2 MB
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2. Ranking Among Users on Kaggle.srt
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SRT
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19.7 KB
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2. Treasure in The Kaggle.mp4
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MP4
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69.7 MB
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2. Treasure in The Kaggle.srt
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SRT
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10.5 KB
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2. Visualizing Outliers.mp4
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MP4
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32.7 MB
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2. Visualizing Outliers.srt
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SRT
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11.9 KB
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3. Blog and Documentation Sections.mp4
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MP4
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38.8 MB
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3. Blog and Documentation Sections.srt
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SRT
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6.5 KB
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3. Categoric Variables (Analysis with Pie Chart) Lesson 1.mp4
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MP4
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69 MB
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3. Categoric Variables (Analysis with Pie Chart) Lesson 1.srt
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SRT
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19.7 KB
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3. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 1.mp4
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MP4
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22.3 MB
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3. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 1.srt
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SRT
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5 KB
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3. Dealing with Outliers – Trtbps Variable Lesson 1.mp4
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MP4
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40 MB
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3. Dealing with Outliers – Trtbps Variable Lesson 1.srt
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SRT
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13.7 KB
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3. Examining the Code Section in Kaggle Lesson 3.mp4
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MP4
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148.5 MB
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3. Examining the Code Section in Kaggle Lesson 3.srt
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SRT
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27.7 KB
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3. Initial analysis on the dataset.mp4
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MP4
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58.6 MB
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3. Initial analysis on the dataset.srt
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SRT
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18.2 KB
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3. Notebook Design to be Used in the Project.mp4
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MP4
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97.7 MB
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3. Notebook Design to be Used in the Project.srt
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SRT
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20.3 KB
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3. Publishing Notebooks on Kaggle.mp4
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MP4
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35.4 MB
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3. Publishing Notebooks on Kaggle.srt
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SRT
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7.2 KB
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3. Registering on Kaggle and Member Login Procedures.mp4
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MP4
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40.5 MB
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3. Registering on Kaggle and Member Login Procedures.srt
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SRT
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9.5 KB
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3. Roc Curve and Area Under Curve (AUC).mp4
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MP4
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38.6 MB
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3. Roc Curve and Area Under Curve (AUC).srt
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SRT
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10.2 KB
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3. Separating variables (Numeric or Categorical).mp4
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MP4
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14.7 MB
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3. Separating variables (Numeric or Categorical).srt
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SRT
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4.6 KB
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4. Categoric Variables (Analysis with Pie Chart) Lesson 2.mp4
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MP4
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78 MB
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4. Categoric Variables (Analysis with Pie Chart) Lesson 2.srt
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SRT
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20.9 KB
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4. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 2.mp4
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MP4
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52.3 MB
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4. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 2.srt
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SRT
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16.7 KB
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4. Dealing with Outliers – Trtbps Variable Lesson 2.mp4
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MP4
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40.8 MB
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4. Dealing with Outliers – Trtbps Variable Lesson 2.srt
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SRT
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15.2 KB
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4. Examining Statistics of Variables.mp4
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MP4
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84.3 MB
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4. Examining Statistics of Variables.srt
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SRT
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24.6 KB
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4. Getting to Know the Kaggle Homepage.mp4
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MP4
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112.4 MB
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4. Getting to Know the Kaggle Homepage.srt
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SRT
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25 KB
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4. Hyperparameter Optimization (with GridSearchCV).mp4
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MP4
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54.7 MB
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4. Hyperparameter Optimization (with GridSearchCV).srt
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SRT
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17.4 KB
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4. Project Link File - Hearth Attack Prediction Project, Machine Learning.html
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HTML
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102.4 B
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4. What Should Be Done to Achieve Success in Kaggle.mp4
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MP4
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55.4 MB
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4. What Should Be Done to Achieve Success in Kaggle.srt
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SRT
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11.5 KB
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5. Dealing with Outliers – Thalach Variable.mp4
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MP4
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33.7 MB
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5. Dealing with Outliers – Thalach Variable.srt
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SRT
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11.2 KB
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5. Decision Tree Algorithm.mp4
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MP4
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24 MB
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5. Decision Tree Algorithm.srt
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SRT
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7.4 KB
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5. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 1.mp4
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MP4
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26.6 MB
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5. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 1.srt
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SRT
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7.1 KB
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5. Examining the Missing Data According to the Analysis Result.mp4
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MP4
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50 MB
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5. Examining the Missing Data According to the Analysis Result.srt
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SRT
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13.9 KB
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5. Examining the Project Topic.mp4
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MP4
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71.7 MB
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5. Examining the Project Topic.srt
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SRT
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13.9 KB
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6. Dealing with Outliers – Oldpeak Variable.mp4
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MP4
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33.3 MB
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6. Dealing with Outliers – Oldpeak Variable.srt
|
SRT
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11 KB
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6. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 2.mp4
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MP4
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43.9 MB
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6. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 2.srt
|
SRT
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8.9 KB
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6. Recognizing Variables In Dataset.mp4
|
MP4
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115.4 MB
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6. Recognizing Variables In Dataset.srt
|
SRT
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23.8 KB
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6. Support Vector Machine Algorithm.mp4
|
MP4
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22.7 MB
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6. Support Vector Machine Algorithm.srt
|
SRT
|
6.6 KB
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7. Determining Distributions of Numeric Variables.mp4
|
MP4
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23.3 MB
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7. Determining Distributions of Numeric Variables.srt
|
SRT
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6.5 KB
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7. Feature Scaling with the Robust Scaler Method.mp4
|
MP4
|
32.7 MB
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7. Feature Scaling with the Robust Scaler Method.srt
|
SRT
|
11.7 KB
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7. Random Forest Algorithm.mp4
|
MP4
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27.7 MB
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7. Random Forest Algorithm.srt
|
SRT
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8.4 KB
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8. Creating a New DataFrame with the Melt() Function.mp4
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MP4
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48.8 MB
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8. Creating a New DataFrame with the Melt() Function.srt
|
SRT
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15.1 KB
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8. Hyperparameter Optimization (with GridSearchCV).mp4
|
MP4
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48.6 MB
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8. Hyperparameter Optimization (with GridSearchCV).srt
|
SRT
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14.4 KB
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8. Transformation Operations on Unsymmetrical Data.mp4
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MP4
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22.2 MB
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8. Transformation Operations on Unsymmetrical Data.srt
|
SRT
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6.3 KB
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9. Applying One Hot Encoding Method to Categorical Variables.mp4
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MP4
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22.4 MB
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9. Applying One Hot Encoding Method to Categorical Variables.srt
|
SRT
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7.6 KB
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9. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 1.mp4
|
MP4
|
39.2 MB
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9. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 1.srt
|
SRT
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8.3 KB
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Bonus Resources.txt
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TXT
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409.6 B
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|
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Get Bonus Downloads Here.url
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URL
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204.8 B
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