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| Total size: |
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| Archived
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applied-classification-xgboost.zip |
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6 - Interpreting XGBoost Models\27 - LIME.mp4
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6 - Interpreting XGBoost Models\26 - Partial Dependencies.mp4
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6 - Interpreting XGBoost Models\28 - SHAP.mp4
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6 - Interpreting XGBoost Models\24 - Feature Importance.mp4
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6 - Interpreting XGBoost Models\25 - Feature Interactions.mp4
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6 - Interpreting XGBoost Models\23 - Interpreting Models Slides.mp4
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6 - Interpreting XGBoost Models\29 - Interpreting Models Summary.mp4
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4 - Tuning - Regularization and Hyperparameters\12 - Learning Rate.mp4
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4 - Tuning - Regularization and Hyperparameters\14 - Sampling and Grid Search.mp4
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4 - Tuning - Regularization and Hyperparameters\11 - Lambda and Alpha.mp4
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4 - Tuning - Regularization and Hyperparameters\15 - Regularization and Hyperparameters Summary.mp4
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4 - Tuning - Regularization and Hyperparameters\13 - Number of Estimators, Max Depth, and Gamma.mp4
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4 - Tuning - Regularization and Hyperparameters\10 - Regularization and Hyperparameters Slides.mp4
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5 - Evaluating Models and Exploring Metrics\16 - Metrics and Evaluation Slides.mp4
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5 - Evaluating Models and Exploring Metrics\20 - Precision Recall Curve.mp4
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5 - Evaluating Models and Exploring Metrics\19 - Confusion Matrix, Precision, and Recall.mp4
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5 - Evaluating Models and Exploring Metrics\17 - Accuracy.mp4
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5 - Evaluating Models and Exploring Metrics\21 - Learning Curve.mp4
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5 - Evaluating Models and Exploring Metrics\18 - ROC and AUC.mp4
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5 - Evaluating Models and Exploring Metrics\22 - Metrics and Evaluation Summary.mp4
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1 - Course Overview\01 - Course Overview.mp4
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2 - Getting Started\04 - Visualizing Data.mp4
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2 - Getting Started\03 - Exploring and Tweaking Data.mp4
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2 - Getting Started\05 - Baseline Classifiers.mp4
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2 - Getting Started\06 - Getting Started Summary.mp4
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2 - Getting Started\02 - Getting Started Slides.mp4
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3 - Classifying with Gradient Boosting\07 - Gradient Boosting Slides.mp4
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3 - Classifying with Gradient Boosting\08 - Creating and Exploring XGBoost.mp4
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3 - Classifying with Gradient Boosting\09 - Gradient Boosting Summary.mp4
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6 - Interpreting XGBoost Models |
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4 - Tuning - Regularization and Hyperparameters |
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1 - Course Overview |
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3 - Classifying with Gradient Boosting |
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| Total size: |
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