GitHub - Salma0-8/Credit-Card-Fraud-Detection-A-Comprehensive-Machine-Learning-Approach: Built a fraud detection system to handle an imbalanced credit card transaction dataset using SMOTE and NearMiss for data balancing. Trained multiple models, including Logistic Regression, SVM, Random Forest, and a Neural Network, to detect fraud accurately. Evaluated performance using Precision-Recall AUC, F1-score, and ROC-AUC

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Built a fraud detection system to handle an imbalanced credit card transaction dataset using SMOTE and NearMiss for data balancing. Trained multiple models, including Logistic Regression, SVM, Random Forest, and a Neural Network, to detect fraud accurately. Evaluated performance using Precision-Recall AUC, F1-score, and ROC-AUC

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Credit Card Fraud Detection: Code Journey.md		Credit Card Fraud Detection: Code Journey.md
credit-card-fraud-detection.ipynb		credit-card-fraud-detection.ipynb
credit_card_fraud_detection_storytelling.md		credit_card_fraud_detection_storytelling.md