movie recommendation system

Developed a personalized movie recommendation system using collaborative filtering techniques with K-Nearest Neighbors

(KNN) on a large movie ratings dataset. This recommendation system leverages user-item interactions (ratings) to suggest

movies similar to a given input movie, improving user experience by offering relevant movie suggestions based on previous

behavior patterns.