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Using umdio api, sklearn and python to recommend UMD courses
Jupyter Notebook Python
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umdioCourseRecommender.ipynb

README.md

Course Recommendation System:

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.

Test it out!Binder

Algorithm mods:

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

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