CMPT 459 Course Project Final : Refining Credit Card Fraud Detection with Human In The Loop Approach

Prerequisites

Before running this notebook, ensure you have installed the following:

• Python 3.x
• Jupyter Notebook or JupyterLab
• Required Python libraries: NumPy, Pandas, Matplotlib, Sklearn, TensorFlow, Keras

Terminal

pip install numpy pandas matplotlib scikit-learn tensorflow keras

Setup

• To use this notebook:
• Clone the repository or download the notebook file.
• Ensure that all the dependencies listed above are installed.
• Open the notebook in JupyterLab or Jupyter Notebook.

Usage

Follow the cells sequentially, which are clearly divided into sections as described in the Contents. Each cell can be executed with Shift + Enter. Make sure to modify paths or configurations according to your local setup.

Dataset

Link: https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud

Team Members

Aditya Kulkarni - aka163@sfu.ca

Johann Tin Tsin Fong - jtintsin@sfu.ca