Olympic Sport Evaluation with Machine Learning

Olympic Sport Evaluation with Machine Learning

    Presenter(s)

    Jacob G. Bish

    Comments

    Presentation: 3:00-4:15, Kennedy Union Ballroom

    Description

    The goal of the project was to take visual data from a series of Olympic dives and extract the features of them and inputting them into both a linear regression and another regression that best fits the model. The regression would then be tested against other dives and seeing if the regression could accurately guess the score of said dive. Through the implementation, the student learned how to debug large code libraries and how to properly gather and organize data for further research endeavors.

    Publication Date

    4-17-2024

    Project Designation

    Independent Research

    Primary Advisor

    Van Tam Nguyen

    Primary Advisor's Department

    Computer Science

    Keywords

    Stander Symposium, College of Arts and Sciences

    Olympic Sport Evaluation with Machine Learning

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