• Implemented a recommendation system in python using the Movie Lens Dataset available on Kaggle to suggest movies to the users.
• Used Item-Based Collaborative filtering algorithm and K-Nearest Neighbour to compute the similarity between movies using cosine distance metrics for the recommendation of top ten relevant movies to users and achieved an accuracy of 93% on the test dataset.