Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: User-Based Collabor

The video discusses user-based collaborative filtering, explaining why code implementation is not covered due to prior lessons on item-based and content-based filtering. It emphasizes the transition to deep learning for recommendation systems. The steps for user-based collaborative filtering are outlined, focusing on data preparation and insights. The video also highlights the differences in methodology, such as using Co-clustering and baseline predictors instead of K-nearest neighbors, and concludes with testing the recommendation engine.

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