Credit Card Fraud Detection
This project focuses on analyzing credit card transactions to develop a machine learning model for fraud detection. Spending behaviors in both non-fraudulent and fraudulent transactions were examined through Exploratory Data Analysis (EDA), identifying key patterns. The insights gained from this project can help financial institutions detect and mitigate fraud more effectively, reducing potential losses while improving transaction security.



