Overview
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Discover how to use Python to build programs that can make recommendations. This hands-on course explores different types of recommendation systems, and shows how to build each one.
Syllabus
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Introduction
- Welcome
- Using the exercise files
- Introducing core concepts of recommendation systems
- Popularity-based recommenders
- Evaluating similarity based on correlation
- Classification-based collaborative filtering
- Model-based collaborative filtering systems
- Content-based recommender systems
- Evaluating recommendation systems
- Next steps
