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Build a Movie Recommender App - Algorithm Selection and App Implementation using R's Shiny Platform
This is one of my final projects for the HarvardX Data Science Professional Certificate Program. As the title suggests, it is on the GroupLense database colloquially known as MovieLens. The goal of the project is to predict ratings with a RMSE below .86490. I was able to surpass the goal with 3 different models. Happy reading!
Project on recommender systems within the data mining course in my master's program.
Using the MovieLens dataset (ml-10M100K) to build and compare recommender systems in R and Python. Algorithms: RANDOM, POPULAR, UBCF, RSVD, Content-based.
Recommendation system to recommend movies to users.