tph-kds/anomaly_detection_in_transactions
This project aims to detect fraudulent transactions by leveraging machine learning-based anomaly detection techniques, and to develop an automated system that can monitor transactions in real-time, identify anomalies, and flag potential fraudulent transactions for further investigation.
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3
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Language
Jupyter Notebook
License
Apache-2.0
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Last pushed
Nov 08, 2024
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