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Repository for the Honor Track of Recommender Systems Specialization from the University of Minnesota on Coursera

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Recommender Systems Specialization from University of Minnesota

Overview

Recommender Systems Specialization from University of Minnesota is an intermediate/advanced level specialization focused on Recommender System on Coursera Plaform.

Courses in this Program

  1. Introduction to Recommender Systems: Non-Personalized and Content-Based
  2. Nearest Neighbor Collaborative Filtering
  3. Recommender Systems: Evaluation and Metrics
  4. Matrix Factorization and Advanced Techniques
  5. Capstone - TODO

⚠️ Disclaimer ⚠️

Please, don't fork or copy this repository.

The Recommender Systems Specialization from University of Minnesota, is one of the hardest specializations on the Coursera plaform. You need to study a lot for succeed it.

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Repository for the Honor Track of Recommender Systems Specialization from the University of Minnesota on Coursera

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