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Hands-On Ensemble Learning with Python Cover

Hands-On Ensemble Learning with Python

Build highly optimized ensemble machine learning models using scikit-learn and Keras

Paid access
|Aug 2019
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Table of Contents

  1. A Machine Learning Refresher
  2. Getting Started with Ensemble Learning
  3. Voting
  4. Stacking
  5. Bagging
  6. Boosting
  7. Random Forests
  8. Clustering
  9. Classifying Fraudulent Transactions
  10. Predicting Bitcoin Prices
  11. Evaluating Twitters Sentiment
  12. Recommending Movies with Keras
  13. Clustering Application: World Happiness
PDF ISBN: 978-1-78961-788-7
Publisher: Packt Publishing Limited
Copyright owner: © 2019 Packt Publishing Limited
Publication date: 2019
Language: English
Pages: 298