Developed a machine learning model to detect fraudulent credit card transactions with 93% accuracy on a dataset of 284,807 transactions. Preprocessed and normalized the data while handling class imbalance using oversampling and undersampling, and implemented classification algorithms like logistic regression.
Developed a machine learning model to detect fraudulent credit card transactions with 93% accuracy on a dataset of 284,807 transactions. Preprocessed and normalized the data while handling class imbalance using oversampling and undersampling, and implemented classification algorithms like logistic regression.