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mobile-money-fraud-detection's Introduction

mobile-money-fraud-detection

Brief analysis of fraud in a synthetic dataset of mobile money transactions

Dataset

https://www.kaggle.com/ntnu-testimon/paysim1/data

Requirements

  • Python 3.6 (I like f strings)
  • Matplotlib
  • scikit-learn
  • numpy
  • pandas

Install instructions

Clone this repo and change into that directory. Run the following command:

make

This will create a Python virtualenv and attempt to install all the dependencies.

Matplotlib can be a pain to set up on Mac OS. See here for some good guidance if you run into any errors.

Running

Run the following from the root of the project:

. .venv/bin/activate

This will activate the Python virtual environment containing all the needed libraries. If this is successful your command prompt should look similar to the following:

(.venv) $

Then run the main project:

python fraudanalysis.py

Details of the analysis will be logged to model.log.

Example plot:

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