Inspiration

We wanted to explore how banks used machine learning to predict fraud.

What it does

Trained on a dataset of around 30,000 instances, it uses k nearest neighbor (which we calculated was

How we built it

Scikit learn, pandas, numpy

Challenges we ran into

Monzo failing to be a good API, overfitting machine learning models

Accomplishments that we're proud of

actually getting a working demo before demo day

What we learned

What's next for Xxx X-treme Bank Fraud.exe xxX

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