This project implements a machine learning model to detect fraudulent credit card transactions in real time. The model is trained on a dataset of anonymized credit card transactions labeled as fraudulent or non-fraudulent, and uses various features such as transaction amount, location, and time to make predictions.
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This project implements a machine learning model to detect fraudulent credit card transactions in real time. The model is trained on a dataset of anonymized credit card transactions labeled as fraudulent or non-fraudulent, and uses various features such as transaction amount, location, and time to make predictions.
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PK284/Credit-Card-Fraud-Detection
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This project implements a machine learning model to detect fraudulent credit card transactions in real time. The model is trained on a dataset of anonymized credit card transactions labeled as fraudulent or non-fraudulent, and uses various features such as transaction amount, location, and time to make predictions.
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