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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

Using mean, median, and mode in Python

Let's start doing some real coding in Python and see how you compute the mean, median, and mode using Python in an IPython Notebook file.

So go ahead and open up the MeanMedianMode.ipynb file from the data files for this section if you'd like to follow along, which I definitely encourage you to do. If you need to go back to that earlier section on where to download these materials from, please go do that, because you will need these files for the section. Let's dive in!

Calculating mean using the NumPy package

What we're going to do is create some fake income data, getting back to our example from the previous section. We're going to create some fake data where...

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