Catch the Fraudster

A challenge provided by Coursera Data Science Community and Sunil Kappal (link)

Overview

Identify the fraud propensity for a retail company based on a 4K rows worth of data with 1 target variable (Fraud Instance) and 11 predictor variables

Data

https://docs.google.com/spreadsheets/d/1TufF3QBHK8RsC06V0arvF3PwN3gfz5kg5eV6BjRxEjc/edit#gid=581816440

Requirements

• Python 2.7.12
• Jupyter Notebook
• numpy
• pandas
• scikit-learn
• matplotlib

Instructions

1. Clone this repositoy
2. Enter the downloaded folder
3. Type jupyter notebook in your terminal to launch jupyter notebook
4. Select catch_the_fraudster.ipynb