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E-Commerce Fraud Detection Using Generated Data From BANKSIM Using Machine Learning

5,500.00
Aim To develop a robust fraud detection system for e-commerce transactions by leveraging machine learning algorithms on simulated BANKSIM data, achieving high classification accuracy to mitigate risks associated with fraudulent transactions.

Fraud Detection in Banking Data by Machine Learning Technique

5,500.00
Aim: The aim is to leverage the power of machine learning to create efficient and accurate fraud detection systems that protect the interests of both financial institutions and their customers.