U

Unsupervised Machine Learning

Unsupervised anomaly detection model using Isolation Forest for Anti-Money Laundering (AML) monitoring. Applied to Cash Deposit transactions to identify unusual behavioral patterns that may suggest suspicious activity. Includes exploratory data analysis and model implementation in Python.

This is just a portfolio project repository. I want to show recruiters and my hopefully next coworkers something I am working on. That's why I used an ECS as architecture. Right now, the base algorithm should work correctly. In the future, I plan to add demos, examples, wrapper and so on.

A project to study the links between evolution and (unsupervised) machine learning in a Game of Life fashion.