01 - Introduction to Recommender System - Non Personalized and Content-Based

Introduction to Recommender Systems: Non-Personalized and Content-Based from University of Minnesota

Overview

Introduction to Recommender Systems: Non-Personalized and Content-Based from University of Minnesota is the first course of five courses in Recommender Systems Specialization from University of Minnesota, an intermediate/advanced level specialization focused on Recommender System on Coursera Platform.

This course covers:

• Summary Statistics
• Introducing Recommender Systems
• Non-Personalized and Stereotype-Based Recommenders
• Term Frequency Inverse Document Frequency (TF-IDF)
• Content-Based Filtering

Certificate of Completion

You can see the Certificate of Completion and other certificates in my Certificates Repo that contains all my certificates obtained through my journey as a self-made Data Science and better developer.

⚠️ 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.