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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.
The text was updated successfully, but these errors were encountered:
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.
The text was updated successfully, but these errors were encountered: