AI/ML

Credit Card Fraud Detection

Credit card fraud detection refers to the process of identifying and preventing unauthorized or fraudulent transactions made using credit or debit cards. This is a crucial aspect of financial security, aimed at protecting both cardholders and financial institutions from potential losses due to fraudulent activities. The detection methods involve the use of advanced technologies, data analytics, and machine learning to analyze patterns, anomalies, and behaviors associated with fraudulent transactions.

Technologies That We Use

• Python 3.9.16

• jupyter notebook 

• Machine Learning and AI
• Anaconda Navigator is a graphical user interface for managing Python environments, packages, and data science tools in a user-friendly way.