/Money-Laundering-Detection

This project leverages machine learning models like Random Forest and XGBoost to detect suspicious financial transactions that could be linked to money laundering. Using a dataset provided by IBM, we analyze real-world financial interactions between individuals, businesses, and banks.

Primary LanguageJupyter NotebookMIT LicenseMIT

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