Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787280748
Length 420 pages
Edition 1st Edition
Languages
Tools
Concepts
Arrow right icon
Author (1):
Arrow left icon
Frank Kane Frank Kane
Author Profile Icon Frank Kane
Frank Kane
Arrow right icon
View More author details
Toc

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 KNN to predict a rating for a movie

Alright, we're going to actually take the simple idea of KNN and apply that to a more complicated problem, and that's predicting the rating of a movie given just its genre and rating information. So, let's dive in and actually try to predict movie ratings just based on the KNN algorithm and see where we get. So, if you want to follow along, go ahead and open up the KNN.ipynb and you can play along with me.

What we're going to do is define a distance metric between movies just based on their metadata. By metadata I just mean information that is intrinsic to the movie, that is, the information associated with the movie. Specifically, we're going to look at the genre classifications of the movie.

Every movie in our MovieLens dataset has additional information on what genre it belongs to. A movie can belong to more...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image