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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

Mean, median, and mode

Let's do a little refresher of statistics 101. This is like elementary school stuff, but good to go through it again and see how these different techniques are used: Mean, median, and mode. I'm sure you've heard those terms before, but it's good to see how they're used differently, so let's dive in.

This should be a review for most of you, a quick refresher, now that we're starting to actually dive into some real statistics. Let's look at some actual data and figure out how to measure these things.

Mean

The mean, as you probably know, is just another name for the average. To calculate the mean of a dataset, all you have to do is sum up all the values and divide...

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