Hands-on Recommendation Systems with Python | 6. Building Collaborative Filters

Hands-on Recommendation Systems with Python is available from: Packt.com: http://bit.ly/2AvcuLB Amazon: https://amzn.to/2O1AoAe This is the “Code in Action” video for chapter 6 of Hands-on Recommendation Systems with Python by Rounak Banik, published by Packt. It includes the following topics: 00:40 Exploring the data 00:53 Training and test data 00:58 Evaluation 01:15 User-based collaborative filtering 01:19 Mean 01:29 Weighted mean 03:38 User demographics 05:08 Clustering 05:46 Singular-value decomposition Recommendation systems are at the heart of almost every internet business today; from Facebook to Netflix to Amazon. Providing good recommendations, whether it's friends, movies or groceries, goes a long way in defining user experience and enticing your customers to use and buy from your platform. This book teaches you to do just that. Connect with Packt: Find us on Facebook: http://www.facebook.com/PacktPub Find us on Twitter - http://www.twitter.com/packtpub Video created by Rounak Banik