Classifications For The Fraudulent Credit Card Charges - B365

This is the README file for the B365-Course-Project repository on Classifications For The Fraudulent Credit Card Charges. Group 7

Created by Devin Thakker, Ahmad Aldhaheri, and Yash Gollapudi

Folder Structure

The repository is structured as follows:

• Data - Contains the data used for the project
• Models - Contains the models created for the project
• Notebooks - Contains the Jupyter Notebook file for the project
• README.md - The README file for the project
• requirements.txt - The file containing the required packages and libraries for the project

Setting up the Virtual Environment (Optional)

To set up the virtual environment for this project, follow these steps:

1. Make sure you have Python installed on your machine. You can check by running the following command:

   python --version

2. Create a new virtual environment using the venv module. Run the following command in your terminal:

   python -m venv myenv

3. Activate the virtual environment. Run the correct command based on your OS:

   • For Windows:

     myenv\Scripts\activate

   • For macOS and Linux:

     source myenv/bin/activate

4. Install the project dependencies from the requirements.txt file. Run the following command in your terminal:

   pip install -r requirements.txt

   This will install all the required packages and libraries specified in the requirements.txt file.

Usage

After making sure all the dependencies are installed whether you decide to use a virtual environment or not.

1. Open the Models Folder

2. In the folder you will find 4 files, each of which are the models we created for this project.

3. To run the models, open the files in a Python IDE and run the code.

4. In the Notebooks Folder, you will find the Jupyter Notebook file that contains the code for the models as well.

Note: The KNN model takes a while to run, so be patient. Also the Decision Tree model also creates a txt file of the tree.

Contributing

Created by Devin Thakker, Ahmad Aldhaheri, and Yash Gollapudi