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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

Conditional probability

Next, we're going to talk about conditional probability. It's a very simple concept. It's trying to figure out the probability of something happening given that something else occurred. Although it sounds simple, it can be actually very difficult to wrap your head around some of the nuances of it. So get an extra cup of coffee, make sure your thinking cap's on, and if you're ready for some more challenging concepts here. Let's do this.

Conditional probability is a way to measure the relationship between two things happening to each other. Let's say I want to find the probability of an event happening given that another event already happened. Conditional probability gives you the tools to figure that out.

What I'm trying to find out with conditional probability is if I have two events that depend on each other. That...

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