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.
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.