Brief analysis of fraud in a synthetic dataset of mobile money transactions
https://www.kaggle.com/ntnu-testimon/paysim1/data
- Python 3.6 (I like f strings)
- Matplotlib
- scikit-learn
- numpy
- pandas
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.
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:
