Skip to content

Latest commit

 

History

History
25 lines (13 loc) · 728 Bytes

README.md

File metadata and controls

25 lines (13 loc) · 728 Bytes

recommender_live

##Overview

This is the code for this video on Youtube by Siraj Raval. We're going to be looking at recommendation systems and we focus on popularity-based, item-item collaborative filtering, and user-item collaborative filtering. Then at the end we talk about the bleeding edge, which is a deep learning approach.

##Dependencies

  • pandas
  • scikit-learn
  • numpy
  • scipy

Use pip to install missing dependencies.

##Usage

Run jupyter notebook when in the main code directory to see this run in your browser.

##Credits

Credits go to dvysardana. I've merely created a wrapper to get people started.