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Module 3 - Ensemble models - Supervised Machine Learning in Python
Ensemble models: bagging
Introduction to bagging (6:49)
Bagging in Python (12:43)
Introduction to Random Forest (2:53)
Random Forest in Python (11:51)
Introduction to Extremely Randomized trees (2:31)
Extremely Randomized trees in Python (10:05)
Student quiz
Introduction to ensemble models
Ensemble models and bias-variance tradeoff (5:23)
Ensemble models: boosting
Introduction to Boosting (4:28)
Boosting in Python (8:53)
Introduction to Gradient Boosting (4:40)
Gradient Boosting in Python (9:15)
XGBoost in Python (10:48)
Student quiz
Ensemble models: voting
Introduction to voting (3:43)
Voting in Python (6:25)
Student quiz
Ensemble models: stacking
Introduction to stacking (2:12)
Stacking in Python (8:02)
Student quiz
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Random Forest in Python
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