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Ensemble Machine Learning: A Beginner's Guide That Combines Powerful Machine Learning Algorithms to Build Optimized Models

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Ensembling is a technique of combining two or more machine learning algorithms to create a model that delivers superior prediction power. This book will show you how you can use many weak algorithms to make a strong predictive model. This book contains Python code for different machine learning algorithms for ease of implementation.

438 pages, Kindle Edition

Published December 21, 2017

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About the author

Ankit Dixit

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