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Python Machine Learning By Example

You're reading from Python Machine Learning By Example The easiest way to get into machine learning

Product type Paperback

Published in May 2017

Publisher Packt

ISBN-13 9781783553112

Length 254 pages

Edition 1st Edition

Languages

Python

Tools

Matplotlib

Concepts

Machine Learning

Authors (2):

Yuxi (Hayden) Liu

Ivan Idris

View More author details

Table of Contents (15) Chapters

Title Page

Credits

About the Author

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

1. Getting Started with Python and Machine Learning FREE CHAPTER

2. Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms

3. Spam Email Detection with Naive Bayes

4. News Topic Classification with Support Vector Machine

5. Click-Through Prediction with Tree-Based Algorithms

6. Click-Through Prediction with Logistic Regression

7. Stock Price Prediction with Regression Algorithms

8. Best Practices

The newsgroups data

The first project in this book is about the 20 newsgroups dataset found in scikit-learn. The data contains approximately 20,000 across 20 online newsgroups. A newsgroup is a place on the Internet where you can ask and answer questions about a certain topic. The data is already split into training and test sets. The cutoff point is at a certain date. The original data comes from http://qwone.com/~jason/20Newsgroups/. 20 different newsgroups are listed as follows:

comp.graphics
comp.os.ms-windows.misc
comp.sys.ibm.pc.hardware
comp.sys.mac.hardware
comp.windows.x
rec.autos
rec.motorcycles
rec.sport.baseball
rec.sport.hockey
sci.crypt
sci.electronics
sci.med
sci.space
misc.forsale
talk.politics.misc
talk.politics.guns
talk.politics.mideast
talk.religion.misc
alt.atheism
soc.religion.christian

All the documents in the dataset are in English. And from the newsgroup names, you can deduce the topics.

Some of the newsgroups are closely related or even overlapping, for instance, those five computer...

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Authors (2)

Yuxi (Hayden) Liu

Yuxi (Hayden) Liu

Yuxi (Hayden) Liu was a Machine Learning Software Engineer at Google. With a wealth of experience from his tenure as a machine learning scientist, he has applied his expertise across data-driven domains and applied his ML expertise in computational advertising, cybersecurity, and information retrieval. He is the author of a series of influential machine learning books and an education enthusiast. His debut book, also the first edition of Python Machine Learning by Example, ranked the #1 bestseller in Amazon and has been translated into many different languages.

See other products by Yuxi (Hayden) Liu

Ivan Idris

Ivan Idris

Ivan Idris has an MSc in experimental physics. His graduation thesis had a strong emphasis on applied computer science. After graduating, he worked for several companies as a Java developer, data warehouse developer, and QA analyst. His main professional interests are business intelligence, big data, and cloud computing. Ivan Idris enjoys writing clean, testable code and interesting technical articles. Ivan Idris is the author of NumPy 1.5. Beginner's Guide and NumPy Cookbook by Packt Publishing.

See other products by Ivan Idris

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