Abstract :This paper discusses how machine learning techniques can be used to detect credit card fraud. It covers the types of fraud, challenges, and various ML algorithms used. The steps for building an ML-based fraud detection system are explained, and current and future trends are examined. Overall, ML-based fraud detection systems can significantly improve accuracy and efficiency, leading to better customer protection and reduced financial losses.
Keywords :Machine Learning, Deep Learning, Logistic Regression, CNN.
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DOI:
10.17148/IJARCCE.2023.12632
