Enhancing Credit Card Fraud Detection with Machine Learning
Enhancing Credit Card Fraud Detection with Machine Learning
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This presentation explores credit card fraud detection by addressing financial security concerns, challenges with imbalanced datasets, and innovative methodologies. It delves into logistic regression, Random Forest, and XGBoost, introducing the FraudSightBoost model and leveraging techniques like SMOTE. Comparative results demonstrate the efficiency of advanced models like FraudSightBoost and LSTM. The conclusion highlights project achievements, future directions, and implications for...