zhannar/MovieLens-Pt2-Collaborative-Filtering-Recommender-Systems-Graphlab

Used collaborative filtering to produce a movie ratings classifier and recommender. Used the Netflix Prize's top 10 performers to perform benchmarking and placed 6th. Also explored content-filtering models using dimensionality reduced features and k-means, naive bayes, decision trees, and random forests classifiers in separate repo: MovieLens-Pt1-Content-Filtering-Recommender-Systems-Pandas-SKlearn

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