This project aims to create a movie recommendation engine from the MovieLens dataset in order to provide recommended movies for particular users based on their view history. Spark was used to assist with the processing time. The predictions were made by using regression.
This project utilizes Python via Jupyter Notebook. Libraries include pyspark (various sub-libraries), os, shutil, and time.