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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

Improving the results of movie similarities

Let's figure out what went wrong with our movie similarities there. We went through all this exciting work to compute correlation scores between movies based on their user ratings vectors, and the results we got kind of sucked. So, just to remind you, we looked for movies that are similar to Star Wars using that technique, and we ended up with a bunch of weird recommendations at the top that had a perfect correlation.

And, most of them were very obscure movies. So, what do you think might be going on there? Well, one thing that might make sense is, let's say we have a lot of people watch Star Wars and some other obscure film. We'd end up with a good correlation between these two movies because they're tied together by Star Wars, but at the end of the day, do we really want to base our recommendations on the behavior...

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