Ensemble Machine Learning Cookbook: Over 35 practical recipes to explore ensemble machine learning techniques using Python
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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























