[ DevCourseWeb.com ] Ensemble Machine Learning Cookbook (True)



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2019 | English | ISBN: 1789136601 | PDF MOBI EPUB (True) | 336 pages | 57 MB



Implement machine learning algorithms to build ensemble models using Keras, H2O, Scikit-Learn, Pandas and more



Key Features

Apply popular machine learning algorithms using a recipe-based approach

Implement boosting, bagging, and stacking ensemble methods to improve machine learning models

Discover real-world ensemble applications and encounter complex challenges in Kaggle competitions

Book Description

Ensemble modeling is an approach used to improve the performance of machine learning models. It combines two or more similar or dissimilar machine learning algorithms to deliver superior intellectual powers. This book will help you to implement popular machine learning algorithms to cover different paradigms of ensemble machine learning such as boosting, bagging, and stacking.



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