CS4650.01 - Capstone Project:

Members:

• Eduardo Castro Becerra
• Simon Nguyen
• Bryan Martinez Ramirez
• Myo T Aung

Project Description:

In this project, we analyzed credit card fraud dataset by DHANUSH NARAYANAN R from Kaggle (https://www.kaggle.com/datasets/dhanushnarayananr/credit-card-fraud). After our initial analysis of the data, we then utilized the K Nearest Neighbors (KNN) classifier in order to create a model to predict fradulent cases based on the features provided.

Class Project Report:

This project's class report can be found here.

Running Code:

1. Clone the git repo to local repository
2. Download the dataset from Kaggle here: https://www.kaggle.com/datasets/dhanushnarayananr/credit-card-fraud
3. Unzip file to access dataset (should be called archive.csv)
4. Move dataset file to the same directory as Capstone.ipynb