Book Content
chapters • 4h52m total length
1. Getting Started with Recommender Systems
2. Manipulating Data with the Pandas Library
3. Building an IMDB Top 250 Clone with Pandas
4. Building Content-Based Recommenders
5. Getting Started with Data Mining Techniques
6. Building Collaborative Filters
7. Hybrid Recommenders














