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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 recommendation results

As an exercise, I want to challenge you to go and make those recommendations even better. So, let's talk about some ideas I have, and maybe you'll have some of your own too that you can actually try out and experiment with; get your hands dirty, and try to make better movie recommendations.

Okay, there's a lot of room for improvement still on these recommendation results. There's a lot of decisions we made about how to weigh different recommendation results based on your rating of that item that it came from, or what threshold you want to pick for the minimum number of people that rated two given movies. So, there's a lot of things you can tweak, a lot of different algorithms you can try, and you can have a lot of fun with trying to make better movie recommendations out of the system. So, if you're feeling up to...

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