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You're reading from Ensemble Machine Learning Cookbook Over 35 practical recipes to explore ensemble machine learning techniques using Python

Product type Paperback

Published in Jan 2019

Publisher Packt

ISBN-13 9781789136609

Length 336 pages

Edition 1st Edition

Languages

Python

Tools

Scikit-learn

Concepts

Machine Learning

Authors (2):

Vijayalakshmi Natarajan

Dipayan Sarkar

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Table of Contents (14) Chapters

Preface

1. Get Closer to Your Data FREE CHAPTER

2. Getting Started with Ensemble Machine Learning

3. Resampling Methods

4. Statistical and Machine Learning Algorithms

5. Bag the Models with Bagging

6. When in Doubt, Use Random Forests

7. Boosting Model Performance with Boosting

8. Blend It with Stacking

9. Homogeneous Ensembles Using Keras

10. Heterogeneous Ensemble Classifiers Using H2O

11. Heterogeneous Ensemble for Text Classification Using NLP

12. Homogenous Ensemble for Multiclass Classification Using Keras

13. Other Books You May Enjoy

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When in Doubt, Use Random Forests

In this chapter, we will cover the following recipes:

Introduction to random forests
Implementing a random forest for predicting credit card defaults using scikit-learn
Implementing a random forest for predicting credit card defaults using H2O

The rest of the chapter is locked

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Authors (2)

Sarkar

Dipayan Sarkar holds a Masters in Economics and comes with 17+ years of experience. Dipayan has won international challenges in predictive modeling and takes a keen interest in the mathematics behind machine learning techniques. Before opting to become an independent consultant and a mentor in the data science and machine learning space with various organizations and educational institutions, he had served in the capacity of a senior data scientist with Fortune 500 companies in the US and Europe. He is currently associated with Great Lakes Institute of Management as a visiting faculty (Analytics) and BML Munjal University as an adjunct faculty (Analytics and Machine Learning). He has co-authored a book on "Ensemble Machine Learning with Python" with PACKT Publishing.

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Natarajan

Vijayalakshmi Natarajan holds an ME in Computer Science, comes with 4 years of industry experience. She is a data science enthusiast and is a passionate trainer in the field of data science & data visualization. She takes keen interests in deep diving into Machine Learning techniques. Her specialization includes machine learning techniques in the field of image processing.

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