Recommender Systems with Machine Learning - User-Based Collaborative Filtering

The video discusses user-based collaborative filtering, explaining why code implementation is not covered due to prior coverage of item-based and content-based filtering. It emphasizes the transition to deep learning for recommendation systems. The steps in user-based collaborative filtering are outlined, focusing on data preparation and insights. Techniques like Co clustering and baseline predictors are introduced, concluding with testing the recommendation engine.

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