This project implements an Item-Based Collaborative Filtering (IBCF) recommendation system that analyzes user movie ratings to generate personalized top-3 movie suggestions. The model identifies similar movies based on rating patterns and recommends unwatched films that align with each user's preferences.

Applied Predictive Modeling - Chapter 7 Exercises: 7.2, 7.5