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Feature Engineering Made Easy

You're reading from Feature Engineering Made Easy Identify unique features from your dataset in order to build powerful machine learning systems

Product type Paperback

Published in Jan 2018

Publisher Packt

ISBN-13 9781787287600

Length 316 pages

Edition 1st Edition

Languages

Python

Tools

Pandas

Concepts

Machine Learning

Authors (2):

Sinan Ozdemir

Susarla

View More author details

Table of Contents (14) Chapters

Title Page

Copyright and Credits

Packt Upsell

Contributors

Preface

1. Introduction to Feature Engineering FREE CHAPTER

2. Feature Understanding – What's in My Dataset?

3. Feature Improvement - Cleaning Datasets

4. Feature Construction

5. Feature Selection

6. Feature Transformations

7. Feature Learning

8. Case Studies

1. Other Books You May Enjoy

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Summary

In this chapter, we saw two different case studies from two vastly different domains using many of the feature engineering methods learned in this book.

We do hope that you have found the contents of this book interesting and that you'll continue your learning! We leave it to you to keep exploring the world of feature engineering, machine learning, and data science. It is hoped that this book has been a catalyst for you to go out and learn even more about the subject.

For further reading past this book, I highly recommend looking into well-known data science books and blogs, such as:

Principles of Data Science by Sinan Ozdemir, available through Packt at: https://www.packtpub.com/big-data-and-business-intelligence/principles-data-science
Machine Learning and AI blog, KD-nuggets (https://www.kdnuggets.com/)

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Authors (2)

Sinan Ozdemir

Sinan Ozdemir

Sinan is an active lecturer focusing on large language models and a former lecturer of data science at the Johns Hopkins University. He is the author of multiple textbooks on data science and machine learning including "Quick Start Guide to LLMs". Sinan is currently the founder of LoopGenius which uses AI to help people and businesses boost their sales and was previously the founder of the acquired Kylie.ai, an enterprise-grade conversational AI platform with RPA capabilities. He holds a Master's Degree in Pure Mathematics from Johns Hopkins University and is based in San Francisco.

See other products by Sinan Ozdemir

Susarla

Susarla

Divya Susarla is an experienced leader in data methods, implementing and applying tactics across a range of industries and fields including investment management, social enterprise consulting, and wine marketing. She trained in data by way of specializing in Economics and Political Science at University of California, Irvine, cultivating a passion for teaching by developing an analytically based, international affairs curriculum for students through the Global Connect program. Divya is currently focused on natural language processing and generation techniques at Kylie.ai, a startup helping clients automate their customer support conversations. When she is not busy working on building Kylie.ai and writing educational content, she spends her time traveling across the globe and experimenting with new recipes at her home in Berkeley, CA.

See other products by Susarla

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