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

Share

COinS