Recommender Systems Complete Course Beginner to Advanced - Project 2: Movie Recommendation System Using Collaborative Fi

This video tutorial covers the development of an item-based collaborative filtering recommender system using the K nearest neighbours algorithm. It outlines the steps involved, including data preparation, gaining data insights, implementing the algorithm, and building and testing the recommendation engine. The tutorial uses Python and Jupyter Notebook as tools.

What new insight or understanding did you gain from this video?