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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

2. Getting Started with Ensemble Machine Learning FREE CHAPTER

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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Technical requirements

The technical requirements for this chapter remain the same as those we detailed in Chapter 1, Get Closer to Your Data.

Visit the GitHub repository to get the dataset and the code. These are arranged by chapter and by the name of the topic. For the linear regression dataset and code, for example, visit .../Chapter 3/Linear regression.

The rest of the chapter is locked

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Authors (2)

Sarkar

Aurobindo Sarkar leads a team of data scientists and engineers at Session AI, developing cloud-based ML models for in-session marketing in e-commerce and retail. As a former CTO at multiple SaaS startups, he has architected secure, scalable, and highly available AWS cloud applications. His research interests now focus on AWS-based large-scale transformer models for NLP and HFT models for the futures and options market. Aurobindo holds a bachelor's degree in engineering from IIT Delhi, a master's in management from the Indian Institute of Science Bangalore, and a master's in computer science from New York University.

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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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