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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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Concepts
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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

Decision trees - Concepts

Believe it or not, given a set of training data, you can actually get Python to generate a flowchart for you to make a decision. So if you have something you're trying to predict on some classification, you can use a decision tree to actually look at multiple attributes that you can decide upon at each level in the flowchart. You can print out an actual flowchart for you to use to make a decision from, based on actual machine learning. How cool is that? Let's see how it works.

I personally find decision trees are one of the most interesting applications of machine learning. A decision tree basically gives you a flowchart of how to make some decision.You have some dependent variable, like whether or not I should go play outside today or not based on the weather. When you have a decision like that that depends on multiple attributes or multiple...

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