rasbt--python-machine-learning-book/code/_convenience_scripts/blank_tocs/ch07.toc

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