Ensemble Machine Learning Cookbook (repost)
Dipayan Sarkar, "Ensemble Machine Learning Cookbook: Over 35 practical recipes to explore ensemble machine learning techniques using Python"
2019 | English | ISBN: 1789136601 | EPUB | 336 pages | 18 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.