Inspiration
We came in wanting to learn about machine learning techniques
What it does
It doesn't do much yet, but was more of a showcase of us trying to figure out how to use sklearn
How we built it
We used sklearn and a variety of different techniques
Challenges we ran into
Picking which algorithm would run best with our given data
Accomplishments that we're proud of
managing to finish and also provide a simple graph display of what our data looks like
What we learned
we learned a lot about all the different machine learning algorithms and which algorithms are used for certain scenarios
What's next for Risk Stratification
We plan on bringing what we learned to future hackathons and delivering a much better, more well rounded application
Built With
- python
- sklearn
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