Recommender Systems are a kind of data sifting frameworks as they improve the nature of query items and provide relevant search items or are identified with the pursuit history of the user.
Developed a Movie Recommender System based on: User ratings/popularity, Selected genre and overview,Content-based filtering, Collaborative filtering, Hybrid model
Tools Used: Python, Jupyter Notebook