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1. Clustering.mp4
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MP4
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125.7 MB
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1. Clustering.vtt
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VTT
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18.7 KB
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1. Dimensionality Reduction Concept.mp4
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MP4
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31.4 MB
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1. Dimensionality Reduction Concept.vtt
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VTT
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5.3 KB
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1. Ensemble Learning Methods Introduction.mp4
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MP4
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37.2 MB
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1. Ensemble Learning Methods Introduction.vtt
|
VTT
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5.6 KB
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1. Estimating Simple Function with Neural Networks.mp4
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MP4
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143.9 MB
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1. Estimating Simple Function with Neural Networks.vtt
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VTT
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24.4 KB
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1. Installing Applications and Creating Environment.mp4
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MP4
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38.4 MB
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1. Installing Applications and Creating Environment.vtt
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VTT
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6 KB
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1. Introduction to Decision Tree.mp4
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MP4
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43.9 MB
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1. Introduction to Decision Tree.vtt
|
VTT
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7.9 KB
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1. Introduction to Neural Networks.mp4
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MP4
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13.8 MB
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1. Introduction to Neural Networks.vtt
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VTT
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2.5 KB
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1. Logistic Regression.mp4
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MP4
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119.6 MB
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1. Logistic Regression.vtt
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VTT
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23.5 KB
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1. Outline.mp4
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MP4
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63.7 MB
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1. Outline.vtt
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VTT
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4.1 KB
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1. Scikit-Learn.mp4
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MP4
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48.5 MB
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1. Scikit-Learn.vtt
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VTT
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10 KB
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1. Support Vector Machine (SVM) Concepts.mp4
|
MP4
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37.9 MB
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1. Support Vector Machine (SVM) Concepts.vtt
|
VTT
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8 KB
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1. What Does the Course Cover.mp4
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MP4
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54.4 MB
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1. What Does the Course Cover.vtt
|
VTT
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3 KB
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1. kNN Introduction.mp4
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MP4
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62.9 MB
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1. kNN Introduction.vtt
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VTT
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11 KB
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10. Ensemble of ensembles Part 2.mp4
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MP4
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37.8 MB
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10. Ensemble of ensembles Part 2.vtt
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VTT
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5.7 KB
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10. Gradient Based Optimization.mp4
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MP4
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55 MB
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10. Gradient Based Optimization.vtt
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VTT
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12.6 KB
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10. Multiple Regression 2.mp4
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MP4
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91.2 MB
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10. Multiple Regression 2.vtt
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VTT
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13.8 KB
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10. Precision Recall Tradeoff.mp4
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MP4
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102 MB
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10. Precision Recall Tradeoff.vtt
|
VTT
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20.8 KB
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10. Training Your CNN 1.mp4
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MP4
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124.9 MB
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10. Training Your CNN 1.vtt
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VTT
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15.2 KB
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11. Altering the Precision Recall Tradeoff.mp4
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MP4
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20.9 MB
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11. Altering the Precision Recall Tradeoff.vtt
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VTT
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3.5 KB
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11. Getting Started with Neural Network and Deep Learning Libraries.mp4
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MP4
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18.7 MB
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11. Getting Started with Neural Network and Deep Learning Libraries.vtt
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VTT
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5.1 KB
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11. Regularized Regression.mp4
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MP4
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44.3 MB
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11. Regularized Regression.vtt
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VTT
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7.8 KB
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11. Training Your CNN 2.mp4
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MP4
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128.5 MB
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11. Training Your CNN 2.vtt
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VTT
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22.4 KB
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12. Categories of Machine Learning.mp4
|
MP4
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37.5 MB
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12. Categories of Machine Learning.vtt
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VTT
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11.2 KB
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12. Loading Previously Trained Model.mp4
|
MP4
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11.2 MB
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12. Loading Previously Trained Model.vtt
|
VTT
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1.6 KB
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12. Polynomial Regression.mp4
|
MP4
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110.8 MB
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12. Polynomial Regression.vtt
|
VTT
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19.7 KB
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12. ROC.mp4
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MP4
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52.2 MB
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12. ROC.vtt
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VTT
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7.6 KB
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13. Dealing with Non-linear Relationships.mp4
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MP4
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62.7 MB
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13. Dealing with Non-linear Relationships.vtt
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VTT
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10.3 KB
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13. Model Performance Comparison.mp4
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MP4
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79.8 MB
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13. Model Performance Comparison.vtt
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VTT
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10.7 KB
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13. Over and Under Fitting.mp4
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MP4
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70.1 MB
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13. Over and Under Fitting.vtt
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VTT
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16.7 KB
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14. Data Augmentation.mp4
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MP4
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28.5 MB
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14. Data Augmentation.vtt
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VTT
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3.3 KB
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14. Feature Importance.mp4
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MP4
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36.3 MB
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14. Feature Importance.vtt
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VTT
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5.4 KB
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14. Machine Learning Workflow.mp4
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MP4
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27.4 MB
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14. Machine Learning Workflow.vtt
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VTT
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5.3 KB
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15. Data Preprocessing.mp4
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MP4
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135.5 MB
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15. Data Preprocessing.vtt
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VTT
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25.5 KB
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15. Transfer Learning.mp4
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MP4
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97 MB
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15. Transfer Learning.vtt
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VTT
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12.1 KB
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16. Feature Extraction.mp4
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MP4
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111.1 MB
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16. Feature Extraction.vtt
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VTT
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12.9 KB
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16. Variance-Bias Trade Off.mp4
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MP4
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68.7 MB
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16. Variance-Bias Trade Off.vtt
|
VTT
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13.7 KB
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17. Learning Curve.mp4
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MP4
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56.4 MB
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17. Learning Curve.vtt
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VTT
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10.2 KB
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17. State of the Art Tools.mp4
|
MP4
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35.4 MB
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17. State of the Art Tools.vtt
|
VTT
|
6 KB
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18. Cross Validation.mp4
|
MP4
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48 MB
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18. Cross Validation.vtt
|
VTT
|
9.7 KB
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19. CV Illustration.mp4
|
MP4
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127.2 MB
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19. CV Illustration.vtt
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VTT
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19.9 KB
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2. Bagging.mp4
|
MP4
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165.4 MB
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2. Bagging.vtt
|
VTT
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21.1 KB
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2. Differences between Classical Programming and Machine Learning.mp4
|
MP4
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20.9 MB
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2. Differences between Classical Programming and Machine Learning.vtt
|
VTT
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4.9 KB
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2. EDA.mp4
|
MP4
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151.7 MB
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2. EDA.vtt
|
VTT
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22.4 KB
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2. Hello World.mp4
|
MP4
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51.2 MB
|
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2. Hello World.vtt
|
VTT
|
12.5 KB
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2. How to Succeed in This Course.html
|
HTML
|
2.2 KB
|
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2. Introduction to Classification.mp4
|
MP4
|
42.1 MB
|
|
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2. Introduction to Classification.vtt
|
VTT
|
5.7 KB
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2. Linear SVM Classification.mp4
|
MP4
|
80.9 MB
|
|
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2. Linear SVM Classification.vtt
|
VTT
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12.1 KB
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2. Neural Network Architecture.mp4
|
MP4
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22.4 MB
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2. Neural Network Architecture.vtt
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VTT
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7.2 KB
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2. Neural Network Revision.mp4
|
MP4
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43.8 MB
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2. Neural Network Revision.vtt
|
VTT
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9.2 KB
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2. PCA Introduction.mp4
|
MP4
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49 MB
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|
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2. PCA Introduction.vtt
|
VTT
|
8.2 KB
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2. Project Cancer Detection.mp4
|
MP4
|
75.7 MB
|
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2. Project Cancer Detection.vtt
|
VTT
|
10 KB
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2. Training and Visualizing a Decision Tree.mp4
|
MP4
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51.4 MB
|
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|
2. Training and Visualizing a Decision Tree.vtt
|
VTT
|
7 KB
|
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2. k_Means Clustering.mp4
|
MP4
|
57.7 MB
|
|
|
2. k_Means Clustering.vtt
|
VTT
|
10 KB
|
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3. Addition Materials.html
|
HTML
|
307 B
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3. Correlation Analysis and Feature Selection.mp4
|
MP4
|
22.6 MB
|
|
|
3. Correlation Analysis and Feature Selection.vtt
|
VTT
|
9.8 KB
|
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3. Iris Project 1 Working with Error Messages.mp4
|
MP4
|
89.8 MB
|
|
|
3. Iris Project 1 Working with Error Messages.vtt
|
VTT
|
14.5 KB
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3. Learning Representations.mp4
|
MP4
|
77.2 MB
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3. Learning Representations.vtt
|
VTT
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11.5 KB
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3. Motivational Example - Project MNIST.mp4
|
MP4
|
145 MB
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|
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3. Motivational Example - Project MNIST.vtt
|
VTT
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23.5 KB
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3. Motivational Example.mp4
|
MP4
|
66.2 MB
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|
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3. Motivational Example.vtt
|
VTT
|
8.7 KB
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3. Polynomial Kernel.mp4
|
MP4
|
35 MB
|
|
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3. Polynomial Kernel.vtt
|
VTT
|
5.5 KB
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3. Project Files and Resources.html
|
HTML
|
1.7 KB
|
|
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3. Project Wine.mp4
|
MP4
|
47.9 MB
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|
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3. Project Wine.vtt
|
VTT
|
7 KB
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3. Random Forests and Extra-Trees.mp4
|
MP4
|
80.3 MB
|
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3. Random Forests and Extra-Trees.vtt
|
VTT
|
11.1 KB
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3. Understanding MNIST.mp4
|
MP4
|
109 MB
|
|
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3. Understanding MNIST.vtt
|
VTT
|
16.4 KB
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|
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3. Visualizing Boundary.mp4
|
MP4
|
54.7 MB
|
|
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3. Visualizing Boundary.vtt
|
VTT
|
8.8 KB
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|
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3.1 0305.zip.zip
|
ZIP
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2.1 MB
|
|
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4. AdaBoost.mp4
|
MP4
|
49.8 MB
|
|
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4. AdaBoost.vtt
|
VTT
|
7.9 KB
|
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4. Binary Classification Problem.mp4
|
MP4
|
72.1 MB
|
|
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4. Binary Classification Problem.vtt
|
VTT
|
11.5 KB
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4. Correlation Analysis and Feature Selection.mp4
|
MP4
|
105.2 MB
|
|
|
4. Correlation Analysis and Feature Selection.vtt
|
VTT
|
13.9 KB
|
|
|
4. Iris Project 2 Reading CSV Data into Memory.mp4
|
MP4
|
64.6 MB
|
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4. Iris Project 2 Reading CSV Data into Memory.vtt
|
VTT
|
10 KB
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4. Kernel PCA.mp4
|
MP4
|
36.6 MB
|
|
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4. Kernel PCA.vtt
|
VTT
|
6.1 KB
|
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4. Project Cancer Detection Part 1.mp4
|
MP4
|
49.4 MB
|
|
|
4. Project Cancer Detection Part 1.vtt
|
VTT
|
22.1 KB
|
|
|
4. Radial Basis Function.mp4
|
MP4
|
70.1 MB
|
|
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4. Radial Basis Function.vtt
|
VTT
|
8.8 KB
|
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4. SGD.mp4
|
MP4
|
57.3 MB
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4. SGD.vtt
|
VTT
|
10.6 KB
|
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4. Tree Regression, Regularization and Over Fitting.mp4
|
MP4
|
40.1 MB
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|
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4. Tree Regression, Regularization and Over Fitting.vtt
|
VTT
|
5.3 KB
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4. Visualizing CNN.mp4
|
MP4
|
141.9 MB
|
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4. Visualizing CNN.vtt
|
VTT
|
15.4 KB
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4. What is Deep Learning.mp4
|
MP4
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155.6 MB
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4. What is Deep Learning.vtt
|
VTT
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23.1 KB
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4.1 0805.zip.zip
|
ZIP
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40.8 KB
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5. End to End Modeling.mp4
|
MP4
|
35.6 MB
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5. End to End Modeling.vtt
|
VTT
|
5.3 KB
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5. Gradient Boosting Machine.mp4
|
MP4
|
22 MB
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5. Gradient Boosting Machine.vtt
|
VTT
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3.6 KB
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5. Iris Project 3 Loading data from Seaborn.mp4
|
MP4
|
55.9 MB
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5. Iris Project 3 Loading data from Seaborn.vtt
|
VTT
|
9.9 KB
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5. Kernel PCA Demo.mp4
|
MP4
|
21.4 MB
|
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5. Kernel PCA Demo.vtt
|
VTT
|
3.6 KB
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5. Learning Neural Networks.mp4
|
MP4
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40.6 MB
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5. Learning Neural Networks.vtt
|
VTT
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11.4 KB
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5. Linear Regression with Scikit-Learn.mp4
|
MP4
|
77 MB
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5. Linear Regression with Scikit-Learn.vtt
|
VTT
|
14.9 KB
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5. Natural Language Processing - Binary Classification.mp4
|
MP4
|
76 MB
|
|
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5. Natural Language Processing - Binary Classification.vtt
|
VTT
|
11.7 KB
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5. Performance Measure and Stratified k-Fold.mp4
|
MP4
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51.5 MB
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5. Performance Measure and Stratified k-Fold.vtt
|
VTT
|
8.1 KB
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5. Support Vector Regression.mp4
|
MP4
|
59.7 MB
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|
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5. Support Vector Regression.vtt
|
VTT
|
9.3 KB
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5. Understanding CNN.mp4
|
MP4
|
30 MB
|
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5. Understanding CNN.vtt
|
VTT
|
6.7 KB
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6. Confusion Matrix.mp4
|
MP4
|
54.7 MB
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6. Confusion Matrix.vtt
|
VTT
|
11 KB
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6. Five Steps Machine Learning Process.mp4
|
MP4
|
77.3 MB
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6. Five Steps Machine Learning Process.vtt
|
VTT
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9.2 KB
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6. Iris Project 4 Visualization.mp4
|
MP4
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93.5 MB
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6. Iris Project 4 Visualization.vtt
|
VTT
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11.5 KB
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6. LDA vs PCA.mp4
|
MP4
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34.1 MB
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6. LDA vs PCA.vtt
|
VTT
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5.9 KB
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6. Layer - Input.mp4
|
MP4
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29.1 MB
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6. Layer - Input.vtt
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VTT
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6.2 KB
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6. Project HR.mp4
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MP4
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177.8 MB
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6. Project HR.vtt
|
VTT
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28.1 KB
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6. Why Now.mp4
|
MP4
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9.1 MB
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6. Why Now.vtt
|
VTT
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3 KB
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6. XGBoost Installation.mp4
|
MP4
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22.3 MB
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6. XGBoost Installation.vtt
|
VTT
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2.8 KB
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7. Building Block Introduction.mp4
|
MP4
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14.2 MB
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7. Building Block Introduction.vtt
|
VTT
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5.1 KB
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7. Layer - Filter.mp4
|
MP4
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84.4 MB
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7. Layer - Filter.vtt
|
VTT
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18.5 KB
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7. Precision.mp4
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MP4
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23.6 MB
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7. Precision.vtt
|
VTT
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4.1 KB
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7. Project Abalone.mp4
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MP4
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30.7 MB
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7. Project Abalone.vtt
|
VTT
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4.3 KB
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7. Project HR with Google Colab.mp4
|
MP4
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66.6 MB
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7. Project HR with Google Colab.vtt
|
VTT
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11.4 KB
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7. Robust Regression.mp4
|
MP4
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119.1 MB
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7. Robust Regression.vtt
|
VTT
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20.1 KB
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7. XGBoost.mp4
|
MP4
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35.1 MB
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7. XGBoost.vtt
|
VTT
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5.1 KB
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8. Activation Function.mp4
|
MP4
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32.3 MB
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8. Activation Function.vtt
|
VTT
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6.9 KB
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8. Evaluate Regression Model Performance.mp4
|
MP4
|
99.7 MB
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8. Evaluate Regression Model Performance.vtt
|
VTT
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17.9 KB
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8. Project HR - Human Resources Analytics.mp4
|
MP4
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59.2 MB
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8. Project HR - Human Resources Analytics.vtt
|
VTT
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9.5 KB
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8. Recall.mp4
|
MP4
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19.6 MB
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8. Recall.vtt
|
VTT
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3.7 KB
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8. Tensors.mp4
|
MP4
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16.9 MB
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8. Tensors.vtt
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VTT
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4.3 KB
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9. Ensemble of Ensembles Part 1.mp4
|
MP4
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46.4 MB
|
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9. Ensemble of Ensembles Part 1.vtt
|
VTT
|
7.3 KB
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9. Multiple Regression 1.mp4
|
MP4
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125.5 MB
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9. Multiple Regression 1.vtt
|
VTT
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22.5 KB
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9. Pooling, Flatten, Dense.mp4
|
MP4
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88.1 MB
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9. Pooling, Flatten, Dense.vtt
|
VTT
|
12.5 KB
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9. Tensor Operations.mp4
|
MP4
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88.8 MB
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9. Tensor Operations.vtt
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VTT
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18.9 KB
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9. f1.mp4
|
MP4
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12.1 MB
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9. f1.vtt
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VTT
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2.3 KB
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[CourseClub.Me].url
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URL
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0 B
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[DesireCourse.Net].url
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URL
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0 B
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![Udemy - The Complete Machine Learning Course with Python [Desire Course]](/static/img/no-torrent-image.png "Udemy - The Complete Machine Learning Course with Python [Desire Course]")
