Unidad 1: Documento casos Rmarkdown Santiago Gomez Gomez

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.