Credit Card Fraud Detection

• Tech Stack: Python, Numpy, Pandas, Seaborn, Sklearn, Scipy, Matplotlib
• Github URL: Project Link

The project involves cleaning and analyzing credit card transactions made by European cardholders in September 2013.

Various algorithms, including Isolation Forest, Local Outlier Factor, and Support Vector Machine (SVM), are applied to detect credit card fraud.

The project evaluates the accuracy of the implemented machine learning models to identify the most effective approach for detecting fraudulent transactions.