Advanced Modeling Recommender Systems
About
Define what a recommender system is, when it is used, and build one.
Learning Objectives
You will be able to:
- Explain the difference between collaborative filtering and content-based systems.
- Understand Cosine Similarity.
- Explain the math behind recommendation engines.
- Create an item-based movie recommender.
Content
| Topic | Skills |
|---|---|
| Slides | - Overview of the main types of recommendation systems |
| Recommender Systems | - Walkthrough of a movie recommender system in scikit-learn |
Prerequisites
- Define basic principles of supervised learning.
- Prepare features and create models using
scikit-learn. - Plot data.
References
📖 Reference Materials
Important note
Please ignore the _layouts folder and the config.yml file in the root of this repo. They are needed to make sure the repo renders well; please don’t change them or delete them and your repo will work fine :)