• Prem Choudhary
• Smith Parekh
• Rohan Vartak

With the increase in credit card transactions, credit card fraud has increased significantly in recent years. Therefore, the main purpose of fraud detection systems is to detect frauds accurately even before fraud is committed. The goal is to detect and detect the counterfeit nature of fraud. There are a number of ways to detect credit card fraud, such as lineback, retransmission, Random Forest Classifier, k-means clustering and other machine learning algorithms. the purpose of discovery.

MACHINE READING, DATA SCIENCE, PYTHON, NUMPY, PANDAS, MATPLOTLIB, SEABORN AND TRUE INTELLIGENCE

"Credit Card Fraud Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.h512-h514, April-2022, Available :http://www.jetir.org/papers/JETIR2204768.pdf

"Credit Card Fraud Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. pph512-h514, April-2022, Available at : http://www.jetir.org/papers/JETIR2204768.pdf