This project deals with the classification of transactions from a dataset that consists of over two lakh fraudulent credit card transactions. It employs Supervised Machine Learning Algorithms to accurately detect and classify an illegitimate transaction. Four such models are used and are reviewed in a comparative study to analyze the algorithm that is best suited for such a problem.

1. Dipshikha Biswas
2. Harshitha Nagarajan
3. Sneha B

The Credit Card Fraud Detection Dataset from Kaggle has been used

1. Python3 - Programming Language for the entire project
2. Scikit Learn Library - For employing the Machine Learning Models
3. Matplotlib & Seaborn - For Visualizing the data