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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

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781783553112
Length 254 pages
Edition 1st Edition
Languages
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Authors (2):
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Yuxi (Hayden) Liu Yuxi (Hayden) Liu
Author Profile Icon Yuxi (Hayden) Liu
Yuxi (Hayden) Liu
Ivan Idris Ivan Idris
Author Profile Icon Ivan Idris
Ivan Idris
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Toc

Table of Contents (9) Chapters Close

Preface 1. Getting Started with Python and Machine Learning 2. Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms FREE CHAPTER 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

What you need for this book

The following are required for you to utilize this book:

  • scikit-learn 0.18.0
  • Numpy 1.1
  • Matplotlib 1.5.1
  • NLTK 3.2.2
  • pandas 0.19.2
  • GraphViz
  • Quandl Python API

You can use a 64-bit architecture, 2GHz CPU, and 8GB RAM to perform all the steps in this book. You will require at least 8GB of hard disk space.

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