/fraude-detection

This project was a classification problem where i used a synthetic dataset generated using the simulator called PaySim as an approach to such a problem. PaySim uses aggregated data from the private dataset to generate a synthetic dataset that resembles the normal operation of transactions The model i built able to detect fraudulent transactions with a very high accuracy using XGBoost classifier

Primary LanguageJupyter Notebook

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