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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 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

Summary

We just finished our first mile in the Python and machine learning journey! Through this chapter, we got familiar with the basics of machine learning. We started with what machine learning is all about, the importance of machine learning (data technology era) and its brief history and recent development as well. We also learned typical machine learning tasks and explored several essential techniques of working with data and working with models. Now that we are equipped with basic machine learning knowledge, and also get software and tools set up, let's get ready for the real-world machine learning examples ahead.

You have been reading a chapter from
Python Machine Learning By Example
Published in: May 2017
Publisher: Packt
ISBN-13: 9781783553112
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