Fraud Detection: A Classical Machine Learning Problem The challenge of fraud detection in the banking and e-commerce industry represents a quintessential problem tackled using classical machine learning. At the very core, fraud detection is a...
Financial inclusion remains a pressing global concern, with a vast number of people across the globe not having access to fundamental financial services. Such services can act as stepping stones to...
The financial industry relies heavily on complex predictive models to make informed lending decisions. However, these models, although proficient at processing large datasets and predicting outcomes, often fall short in terms of explainability and interpretability...
The issue at hand pertains to the domain of credit card fraud detection. Credit card fraud is a pressing problem for financial institutions and cardholders alike, causing yearly significant financial losses...
A Binary Classification Problem The challenge of credit fraud detection is a significant problem faced by the financial industry, having serious implications on both consumers and businesses alike. In this context, we are working with...
