IEEE Fraud Detection with XGBoost and CatBoost
This project demonstrates the use of a Self-Organizing Map (SOM) for fraud detection in a dataset. The dataset contains transaction records, and the goal is to identify potential fraudulent transactions using unsupervised learning techniques.
This repository demonstrates a practice project in the fraud detection field using data from Kaggle competition - IEEE-CIS Fraud Detection.
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