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Hands-On Ensemble Learning with R Cover

Hands-On Ensemble Learning with R

A beginner's guide to combining the power of machine learning algorithms using ensemble techniques

Paid access
|Aug 2018
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Table of Contents

  1. Introduction to Ensemble Techniques
  2. Bootstrapping
  3. Bagging
  4. Random Forests
  5. The Bare Bones Boosting Algorithms
  6. Boosting Refinements
  7. The General Ensemble Technique
  8. Ensemble Diagnostics
  9. Ensembling Regression Models
  10. Ensembling Survival Models
  11. Ensembling Time Series Models
  12. What's Next?
PDF ISBN: 978-1-78862-917-1
Publisher: Packt Publishing Limited
Copyright owner: © 2018 Packt Publishing Limited
Publication date: 2018
Language: English
Pages: 376