Inspiration
Our provided Case comp file
What it does
Through various feature engineering and hyperparameter tuning, we are able to come up with ML model which detects fraud
How we built it
using scikit and tensorflow
Challenges we ran into
Mainly time complexity, took very long to run and debug due to large amount of trees
Accomplishments that we're proud of
Learning something new!!
What we learned
everything about machine learning
What's next for Random Forest Fraud
Built With
- python
- sklearn
- tensorflow
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