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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

Percentiles and moments

Next, we'll talk about percentiles and moments. You hear about percentiles in the news all the time. People that are in the top 1% of income: that's an example of percentile. We'll explain that and have some examples. Then, we'll talk about moments, a very fancy mathematical concept, but it turns out it's very simple to understand conceptually. Let's dive in and talk about percentiles and moments, a couple of a pretty basic concepts in statistics, but again, we're working our way up to the hard stuff, so bear with me as we go through some of this review.

Percentiles

Let's see what percentiles mean. Basically, if you were to sort all of the data in a dataset, a...

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