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Ensemble Machine Learning Techniques

The Course Overview
Introduction to Ensemble Learning
Setting Up Python
Setting Up Dependencies
Problems that Ensemble Learning Solves
Ensemble Learning for Classification
Implementing Ensemble Learning for Classification
Ensemble Learning for Regression
Implementing Ensemble Learning for Regression
Basics of Bagging
How Bagging Works
Making Predictions on Movie Ratings Using SVM
Random Forest
Using Random Forest to Analyze Sonar Chirp Data
Using the Decision Tree to Determine Weight at Birth
Introduction to Boosting
AdaBoost Algorithm
Other Boosting Algorithms
Predicting Churn Using Boosting
Overview of Stacking Technique
Implementing Blending in Python
How to Use Stacking
Practical Advice on Using Different Ensemble Learning Techniques
Combining Different Ensemble Models Together
Practical Example on Kaggle Competition