Current State: Pulls the data, allows you to recommend courses based on their popularity or similarity scores using their description loaded from UMD.io API.
I am not certain about the accuracy. My popularity scores are computed from the sections available, which is generally inline with major requirements. The content based one might be skewed aswell, I didn't remove common words like "introduction" which can skew the results for any courses that use that word to match more closesly. Short fun project.
Algorithm is from: https://datacamp.com/community/tutorials/recommender-systems-python