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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