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Prove that the pooling of data from different banking players provides added value for the detection of fraudulent transactions.

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corentinpla/Fraud-detection-in-a-complex-or-isolated-banking-system

 
 

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Statapp

Projet conducted during our second year at ENSAE.

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This project aims to prove that the mutualization of data from different banking actors is an added value for the detection of fraudulent transactions. We propose an efficient method to aggregate databases into one, as well as efficient models for detection.

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Prove that the pooling of data from different banking players provides added value for the detection of fraudulent transactions.

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  • Jupyter Notebook 100.0%