Credit Card Fraudulent Detection Introduction This project is a Credit Card Fraud Detection System built using Python. The system utilizes machine learning algorithms to detect fraudulent transactions from a given dataset. This README will guide you through the setup, usage, and structure of the project.

Features Data Preprocessing Feature Engineering Model Training (Logistic Regression, Decision Trees, Random Forest, etc) Model Evaluation (Accuracy, Precision, Recall, F1-Score)

Dataset The dataset used in this project is the Kaggle Credit Card Fraud Detection dataset.

Prerequisites Before you begin, ensure you have met the following requirements:

Python Jupyter Notebook or any other Python IDE