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Hands-On Data Science and Python Machine Learning

You're reading from   Hands-On Data Science and Python Machine Learning Perform data mining and machine learning efficiently using Python and Spark

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787280748
Length 420 pages
Edition 1st Edition
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Author (1):
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Frank Kane Frank Kane
Author Profile Icon Frank Kane
Frank Kane
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Table of Contents (11) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Statistics and Probability Refresher, and Python Practice 3. Matplotlib and Advanced Probability Concepts 4. Predictive Models 5. Machine Learning with Python 6. Recommender Systems 7. More Data Mining and Machine Learning Techniques 8. Dealing with Real-World Data 9. Apache Spark - Machine Learning on Big Data 10. Testing and Experimental Design

Installing Spark

In this section, I'm going to get you set up using Apache Spark, and show you some examples of actually using Apache Spark to solve some of the same problems that we solved using a single computer in the past in this book. The first thing we need to do is get Spark set up on your computer. So, we're going to walk you through how to do that in the next couple of sections. It's pretty straightforward stuff, but there are a few gotchas. So, don't just skip these sections; there are a few things you need to pay special attention to get Spark running successfully, especially on a Windows system. Let's get Apache Spark set up on your system, so you can actually dive in and start playing around with it.

We're going to be running this just on your own desktop for now. But, the same programs that we're going to write in this chapter could...

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