ceenaa/fraud_detection
Credit Card fraud detection
This project helps financial institutions and payment processors automatically identify suspicious credit card transactions that might be fraudulent. It takes raw transaction data, processes it to balance the number of fraud and non-fraud examples, and then applies various analytical models. The output is a clear indication of which transactions are likely fraudulent, helping analysts focus their investigations efficiently.
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Use this if you need to build or evaluate machine learning models for detecting credit card fraud from imbalanced transaction datasets.
Not ideal if you need a plug-and-play solution for real-time fraud detection without any coding or model customization.
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Last pushed
Dec 23, 2023
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