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Learning Data Mining with Python

You're reading from   Learning Data Mining with Python Use Python to manipulate data and build predictive models

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781787126787
Length 358 pages
Edition 2nd Edition
Languages
Concepts
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Toc

Table of Contents (14) Chapters Close

Preface 1. Getting Started with Data Mining FREE CHAPTER 2. Classifying with scikit-learn Estimators 3. Predicting Sports Winners with Decision Trees 4. Recommending Movies Using Affinity Analysis 5. Features and scikit-learn Transformers 6. Social Media Insight using Naive Bayes 7. Follow Recommendations Using Graph Mining 8. Beating CAPTCHAs with Neural Networks 9. Authorship Attribution 10. Clustering News Articles 11. Object Detection in Images using Deep Neural Networks 12. Working with Big Data 13. Next Steps...

What you need for this book

It should come as no surprise that you’ll need a computer, or access to one, to complete the book. The computer should be reasonably modern, but it doesn’t need to be overpowered. Any modern processor (from about 2010 onwards) and 4 gigabytes of RAM will suffice, and you can probably run almost all of the code on a slower system too.

The exception here is with the final two chapters. In these chapters, I step through using Amazon’s web services (AWS) for running the code. This will probably cost you some money, but the advantage is less system setup than running the code locally. If you don’t want to pay for those services, the tools used can all be set-up on a local computer, but you will definitely need a modern system to run it. A processor built in at least 2012, and more than 4 GB of RAM are necessary.

I recommend the Ubuntu operating system, but the code should work well on Windows, Macs, or any other Linux variant. You may need to consult the documentation for your system to get some things installed though.

In this book, I use pip for installing code, which is a command line tool for installing Python libraries. Another option is to use Anaconda, which can be found online here: http://continuum.io/downloads

I also have tested all code using Python 3. Most of the code examples work on Python 2 with no changes. If you run into any problems, and can’t get around it, send an email and we can offer a solution.

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