Recommender Systems

At a glance

• In Class Instruction: 4 Hours

• In Class code along Dataset: Movie Dataset

• Skills Rehearsed

  • NLP.

Pre Reads

Learning Objective

After this session , you'll be able to do

1. Popularity based recommender system
2. Collaborative Filtering

• Item-Item Based Collaborative Filtering

3. Evaluation Metrics for recommender system using surprise module.
4. Content based recommender systems

Slides

Check the Jupyter Notebook in the top right of the screen

Post Reads

Project

Check out project readme!