Credit Card Fraud Detection

This project aims to detect fraudulent credit card transactions using logistic regression.

Workflow

Credit Card Data -> Data pre processing -> Data analysis -> Train-test split -> Logistic regression model -> Evaluation

Dataset

The dataset used for this project can be found here.

Usage

If you are running this project locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/x0samnan/CC-Fraud-Detection.git

2. Installing the requirements

    pip install -r requirements.txt

If you are running this on your machine locally,
1.a) Clone the repo and download the dataset to your working directory.
or,
1.b) Import using kaggle pip module and API token for dataset.
2) Make sure python and pip is installed.
3) Install the dependencies using pip install -r requirements.txt.