This assignment builds a personalized recommended system using survey data from “TV_Show_ratings.csv” that i manually created. The goal is to predict user preferences and recommend new TV shows, the users are likely to enjoy. To accomplish that goal, we will be implementing a User-to-User Collaborative Filtering algorithm using cosine similarity, generate top-N recommendations, and evaluate model performance.