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Building Machine Learning Systems with Python

You're reading from  Building Machine Learning Systems with Python

Product type Book
Published in Jul 2013
Publisher Packt
ISBN-13 9781782161400
Pages 290 pages
Edition 1st Edition
Languages

Table of Contents (20) Chapters

Building Machine Learning Systems with Python
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started with Python Machine Learning 2. Learning How to Classify with Real-world Examples 3. Clustering – Finding Related Posts 4. Topic Modeling 5. Classification – Detecting Poor Answers 6. Classification II – Sentiment Analysis 7. Regression – Recommendations 8. Regression – Recommendations Improved 9. Classification III – Music Genre Classification 10. Computer Vision – Pattern Recognition 11. Dimensionality Reduction 12. Big(ger) Data Where to Learn More about Machine Learning Index

Fetching the data


Luckily for us, the team behind stackoverflow provides most of the data behind the StackExchange universe to which stackoverflow belongs under a CC Wiki license. While writing this, the latest data dump can be found at http://www.clearbits.net/torrents/2076-aug-2012. Most likely, this page will contain a pointer to an updated dump when you read it.

After downloading and extracting it, we have around 37 GB of data in the XML format. This is illustrated in the following table:

File

Size (MB)

Description

badges.xml

309

Badges of users

comments.xml

3,225

Comments on questions or answers

posthistory.xml

18,370

Edit history

posts.xml

12,272

Questions and answers—this is what we need

users.xml

319

General information about users

votes.xml

2,200

Information on votes

As the files are more or less self-contained, we can delete all of them except posts.xml; it contains all the questions and answers as individual row tags within the root tag posts. Refer...

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