An Investigation into Medal-Winning Athletes

Team member

Carrie(Kelei) Jiang, Ellen(Chenyuan) Zhu

Inspiration

At the time of the 2022 Beijing Winter Olympics, and when we watched the games, we saw the athletes' outstanding and even miraculous performances. The ongoing Olympics event inspires us to explore the development of the Olympics.

What it does

In this project, we explored: The proportion of medals won by selected teams by year and by season The age of medal-winning athletes by year and by gender Machine learning algorithm in predicting whether an athlete will win a medal for selected sports.

How we built it

We use python to complete our project.

Challenges we ran into

Finding the visualizations best representing our results is challenging. We tried multiple graphs in the Seaborn library to present our findings better.

Accomplishments that we're proud of

We found the proportion of medals won for selected countries and show the difference between summer and winter Olympics. In addition, we explored the relationship between age and medalists and how this relationship was influenced by season and gender. Furthermore, we optimized the Random Forest model by looking into the “best” maximum depth.