curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
This tool helps financial institutions and credit card companies identify suspicious credit card transactions that might be fraudulent. It takes historical credit card transaction data and automatically flags transactions that deviate significantly from normal patterns. Fraud analysts and risk managers would use this to improve their fraud detection systems and reduce financial losses.
581 stars. No commits in the last 6 months.
Use this if you need to detect unusual or potentially fraudulent activity within large datasets of credit card transactions.
Not ideal if you're looking to detect fraud in other domains like insurance claims or healthcare, or if you need to explain the specific reasons behind each fraud flag beyond identifying anomalies.
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MIT
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Last pushed
Jun 28, 2019
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