Athletes vs Economy w/ ML

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  Correlational Graph Basketball vs Economy

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  Correlational Graph Football vs Economy

Inspiration

As college students ourselves, we were fascinated by how the economy plays a role in the lives of students. When we saw the college sports data sets, we wanted to see if this relationship also applied to college sports and the economy.

What it does

It displays graphs showing correlation of student-athlete performance and the economy. With the regression models, this project can predict future athlete performance based on DOW averages of the economy and vice versa.

How we built it

We imported python libraries and used PyCharm to help compile and run our code.

Challenges we ran into

Bringing multiple libraries together and deciding which parts of the vast datasets to utilize.

Accomplishments that we're proud of

We were able to create user interactive scripts, as well as aesthetically pleasing graphs.

What we learned

We learned how to analyze a wide variety of datasets by looking through the lens of a data scientist (figuratively).

What's next for Athletes vs Economy w/ ML

We aim to bolster our findings with more datasets and find novel connections to additional factors like quantitative measurements of student mental and physical health.

Built With

• machine-learning
• matplotlib
• numpy
• pandas
• python
• scikitlearn