Welcome to the Credit Card Fraud Detection repository! This project aims to detect fraudulent credit card transactions using machine learning techniques. Below are the variables present in the dataset:

1. CustomerID
2. A1, A2, ... A14: These are the principal components obtained with PCA, which have been anonymized to protect sensitive information.
3. Class: The target variable, where 1 indicates a fraudulent transaction and 0 indicates a legitimate transaction.

Feel free to explore the dataset and contribute to the development of more robust fraud detection models, & as always HAPPY ANALYZING!