rishn/QML-Fraud-Detection
Credit card fraud detection project that utilizes quantum machine learning techniques
This project helps financial institutions and payment processors identify suspicious credit card transactions that might be fraudulent. It takes historical transaction data, including anonymized features and fraud labels, to train models that predict whether new transactions are legitimate or fraudulent. A fraud analyst or risk manager in a financial setting would find this useful for enhancing their detection capabilities.
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Use this if you are a risk manager or fraud analyst exploring advanced machine learning and quantum computing techniques to improve the accuracy of credit card fraud detection.
Not ideal if you need an out-of-the-box, production-ready fraud detection system without any machine learning or quantum computing expertise.
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Last pushed
Aug 23, 2024
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