Project — Credit Card Fraud Detection
Built a Credit Card Fraud Detection system by preprocessing transaction data, including missing-value handling, feature scaling, and categorical encoding for better learning. Used oversampling/undersampling and feature-selection methods to address class imbalance and improve model generalization. Evaluated and fine-tuned multiple ML classifiers using hyperparameter optimization and cross-validation to enhance prediction accuracy.