Inspiration
inspired by tamu datathon challenge
What it does
complete the td hospital challenge
How we built it
python, sklearn, jupyter
Challenges we ran into
reading instructions
Accomplishments that we're proud of
accuracy of the models
What we learned
Working with Random forest, XBG, and ada boost classifiers
What's next for TD Hospital Exploration
not much, but we learned a ton :D
(ignore everything else in the repo besides TD Hostpital folder. We tried to build something else but pivoted midway)
Built With
- jupyter
- python
- scikit-learn
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