llSourcell / Recommender_live
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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.
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