Sebastian Raschka, 2015

Python Machine Learning - Code Examples

Chapter 7 - Combining Different Models for Ensemble Learning

• Learning with ensembles
• Implementing a simple majority vote classifier
  • Combining different algorithms for classification with majority vote
• Evaluating and tuning the ensemble classifier
• Bagging – building an ensemble of classifiers from bootstrap samples
• Leveraging weak learners via adaptive boosting
• Summary