Credit Card Fraud Detection with ML | Case Study
Building real-time fraud detection for financial systems: 92.6% accuracy with just 13 features and sub-millisecond inference. Through aggressive feature selection (435 features → 13), logistic regression proved that production-ready ML doesn't require complexity—it requires smart fundamentals and clear constraints.
