ch07

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