scikit-learn Cookbook.pdf

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scikit-learn Cookbook
Over 50 recipes to incorporate scikit-learn into every step
of the data science pipeline, from feature extraction to
model building and model evaluation
Trent Hauck
BIRMINGHAM - MUMBAI
scikit-learn Cookbook
Copyright © 2014 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system,
or transmitted in any form or by any means, without the prior written permission of the
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dealers and distributors will be held liable for any damages caused or alleged to be
caused directly or indirectly by this book.
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However, Packt Publishing cannot guarantee the accuracy of this information.
First published: November 2014
Production reference: 1271014
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78398-948-5
www.packtpub.com
Credits
Author
Trent Hauck
Reviewers
Anoop Thomas Mathew
Xingzhong
Commissioning Editor
Kunal Parikh
Acquisition Editor
Owen Roberts
Content Development Editor
Dayan Hyames
Technical Editors
Mrunal M. Chavan
Dennis John
Copy Editors
Janbal Dharmaraj
Sayanee Mukherjee
Graphics
Sheetal Aute
Ronak Dhruv
Abhinash Sahu
Production Coordinator
Manu Joseph
Cover Work
Manu Joseph
Indexer
Tejal Soni
Project Coordinator
Harshal Ved
Proofreaders
Simran Bhogal
Bridget Braund
Amy Johnson
About the Author
Trent Hauck
is a data scientist living and working in the Seattle area. He grew up
in Wichita, Kansas and received his undergraduate and graduate degrees from the
University of Kansas.
He is the author of the book
Instant Data Intensive Apps with pandas How-to,
Packt Publishing—a
book that can get you up to speed quickly with pandas and
other associated technologies.
First, a big thanks to the Python software community, the people behind
scikit-learn in particular; the skill with which the code is developed is
responsible for a lot of good work that gets done.
Personally, I'd like to thank my family, friends, and coworkers.

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