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Python scripts and Jupyter notebooks for building a predictive model to detect fraudulent ATM transactions, addressing data imbalance and leveraging transaction metadata and proprietary indices for enhanced accuracy.
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Python scripts and Jupyter notebooks for building a predictive model to detect fraudulent ATM transactions, addressing data imbalance and leveraging transaction metadata and proprietary indices for enhanced accuracy.