/rec_sys_jokes

Using the user ratings of the Jester Dataset, built a recommendation system with Matrix Factorization. Converted to an Ensemble model, by performing Linear Regression with manually tagged jokes. Error metric decreased significantly. Performed unsupervised KMeans clustering to identify possible groups of joke within data.

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