Student Recommendation Systems

Course + Major Recommendations

The goal of this project was to provide students with both major recommendations and industry recommendations. To implement this, I used alumni survey data that included details on where alumni are now - what their role title is, what their industry is, their salary, and more. I connected the alumni information with the school's historical data on the alumni to get data on the courses that they took and the grades they recieved in these courses. Then, using a Nearest Neighbors algorithm, for each current student enrolled, I found the alumni that was most similar to them based on course enrollments and gave students a major recommendation and job industry recommendation.

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There were some limitations due to this project due to the small amount of survey response data we had and also the response bias - there were more responses from people in tech than people in humanities areas.