Everyone in the team is interested in machine learning and getting into grad school. This led us to develop a machine learning algorithm that we could potentially use to predict our own grad school admissions.

What it does

We found it fascinating that we could potentially predict the probability of getting into graduate school based on several factors. The user inputs their data, based on which our algorithm outputs a probability.

How I built it

We coded multivariable linear regression from scratch on Python using the numpy library and then used JavaScript to build our website.

Challenges I ran into

We faced a very steep learning curve with both machine learning and web development. Normalizing our data was very important to obtain stable results, which we initially did not implement.

Accomplishments that I'm proud of

The fact that our project was successfully completed was very satisfying.

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