B3.2 Implementing Ensemble Learning Using Averaging Methods

B3. Employing Ensemble Methods with scikit-learn. Implementing Ensemble Learning Using Averaging Methods: 01. Module Overview 02. Bagging and Pasting 03. Random Subspaces and Random Patches 04. Extra Trees 05. Averaging vs. Boosting 06. Exploring the Regression Dataset 07. Regression Using Bagging and Pasting 08. Regression Using Random Subspaces 09. Classification Using Bagging and Pasting 10. Classification Using Random Patches 11. Regression Using Random Forest 12. Regression Using Extra Trees 13. Classification Using Random Forest and Extra Trees 14. Module Summary