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Credit-Card-Fruad-Detection-Model

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This project uses a dataset of credit card transactions to detect fraud using machine learning algorithms such as random forest, XGBoost, and gradient boost. MLflow is integrated to track experiments and manage models efficiently.

Creat2024-10-22T14:47:41
Update2024-10-23T12:06:17
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