sergio11/online_payment_fraud
🚨 Fraud Detection with Deep Neural Networks (PoC) 🤖 A hands-on personal project to predict fraudulent financial transactions using deep learning. Covers the full pipeline: from exploratory data analysis (EDA) and preprocessing to model training and evaluation. An experimental approach to tackling real-world financial fraud. 📊🔍
This project helps financial institutions and payment processors identify suspicious online transactions. By analyzing historical transaction data, it can flag potential fraud cases that might otherwise go unnoticed. The output is a classification of whether a transaction is likely fraudulent, which fraud analysts can then investigate. It is designed for data scientists and AI researchers exploring deep learning techniques for anomaly detection.
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Use this if you are a data scientist or researcher interested in an experimental deep learning approach to detect rare fraudulent online payments within a large, imbalanced dataset.
Not ideal if you need a production-ready, audited, and compliant fraud detection system for real-time financial applications.
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13
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Jupyter Notebook
License
MIT
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Last pushed
Jun 21, 2025
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