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Movie_Recommendation_System

Project name: Movie Recommendation System

Project type: Course project for EECS 375/475 and Data_Science 423: Machine Learning: Foundations, Applications, and Algorithms at Northwestern University

Date: 12/2019

Deliverables:

  1. Build a collaborative filtering movie recommendation system. The movie rating dataset, ml-latest-small, is collected from [MovieLens] https://grouplens.org/datasets/movielens/.
  2. Develop a python GUI application by Tkinter to recommend movies for users via their ratings towards some randomly selected movies.

YouTube demo: https://www.youtube.com/watch?v=anGgSRu01nY&t=131s

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