Ensemble Machine Learning Cookbook

Ensemble Machine Learning Cookbook will start by getting you acquainted with the basics of ensemble techniques and exploratory data analysis. You’ll then learn to implement tasks related to statistical and machine learning algorithms to understand the ensemble of multiple heterogeneous algorithms. (Limited-time offer)

Table of Contents

• Get Closer to Your Data
• Getting Started with Ensemble Machine Learning
• Resampling Methods
• Statistical and Machine Learning Algorithms
• Bag the Models with Bagging
• When in Doubt, Use Random Forests
• Boosting Model Performance with Boosting
• Blend It with Stacking
• Homogeneous Ensembles Using Keras
• Heterogeneous Ensemble Classifiers Using H2O
• Heterogeneous Ensemble for Text Classification Using NLP
• Homogenous Ensemble for Multiclass Classification Using Keras

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