ramtiin/Credit-Card-Fraud-Detection
In this project, I explore different methods for detecting credit card fraud transactions; including using the Catboost algorithm with undersampling & oversampling methods, and using an almost new approach, by using deep learning and autoencoder.
This tool helps financial institutions identify and prevent unauthorized credit card transactions. You provide a dataset of credit card transactions, and it processes them to flag potentially fraudulent activity. It's designed for fraud analysts and financial risk managers who need to efficiently detect unusual transaction patterns.
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Use this if you are a fraud analyst or risk manager looking to enhance your ability to spot fraudulent credit card transactions within large datasets.
Not ideal if you need to detect fraud types beyond credit card transactions, such as insurance scams or identity theft.
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Dec 05, 2021
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