April 2018 – October 2019
• (Python) Predicted missing ratings by comparing a user’s ratings using SVD from the Surprise Library
• (Spark) Recommended movies by (Item Based Collaborative filtering) paring similar user rating
• (Mllib) Used spark ALS recommendation to predict missing ratings for movie lens dataset