This book is for data analysts, data scientists, machine learning engineers, and other professionals who are looking to generate advanced models using ensemble techniques.
Who this book is for
by Konstantinos G. Margaritis, George Kyriakides
Hands-On Ensemble Learning with Python
- Title Page
- Copyright and Credits
- About Packt
- Contributors
- Preface
- Section 1: Introduction and Required Software Tools
- A Machine Learning Refresher
- Getting Started with Ensemble Learning
- Section 2: Non-Generative Methods
- Voting
- Stacking
- Section 3: Generative Methods
- Bagging
- Boosting
- Random Forests
- Section 4: Clustering
- Clustering
- Section 5: Real World Applications
- Classifying Fraudulent Transactions
- Predicting Bitcoin Prices
- Evaluating Sentiment on Twitter
- Recommending Movies with Keras
- Clustering World Happiness
- Another Book You May Enjoy
Who this book is for
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