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Learning Data Mining
with Python
Harness the power of Python to analyze data and
create insightful predictive models
Robert Layton
BIRMINGHAM - MUMBAI
Learning Data Mining with Python
Copyright © 2015 Packt Publishing
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First published: July 2015
Production reference: 1230715
Published by Packt Publishing Ltd.
Livery Place
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Birmingham B3 2PB, UK.
ISBN 978-1-78439-605-3
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Credits
Author
Robert Layton
Reviewers
Asad Ahamad
P Ashwin
Christophe Van Gysel
Edward C. Delaporte V
Commissioning Editor
Taron Pereira
Acquisition Editor
James Jones
Content Development Editor
Siddhesh Salvi
Technical Editor
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Copy Editors
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Project Coordinator
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Proofreader
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Indexer
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Graphics
Sheetal Aute
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Cover Work
Nitesh Thakur
About the Author
Robert Layton has a PhD in computer science and has been an avid Python
programmer for many years. He has worked closely with some of the largest
companies in the world on data mining applications for real-world data and has
also been published extensively in international journals and conferences. He has
extensive experience in cybercrime and text-based data analytics, with a focus
on behavioral modeling, authorship analysis, and automated open source
intelligence. He has contributed code to a number of open source libraries,
including the scikit-learn library used in this book, and was a Google Summer
of Code mentor in 2014. Robert runs a data mining consultancy company called
dataPipeline, providing data mining and analytics solutions to businesses in a
variety of industries.
