This project trains a fraud detection classifier for monetary transactions using a number of techniques for anomaly detection (i.e isolation forest and autoencoders) and deploys the model as an API to production using the Heroku server.
Edit test.py to contain transaction details as you would like to evaluate or make it read a json file containing transactions.
Run on command line
> python test.py