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