Skip to content

Latest commit

 

History

History
10 lines (6 loc) · 545 Bytes

README.md

File metadata and controls

10 lines (6 loc) · 545 Bytes

credit_fraud

A project to compare credit card fraud prediction between auto-encoder and some boosting, bagging models

The data is from kaggle.com

The mkdirs_ml.py file is used to generate the file structure. Use python mkdirs_ml.py to run it.

The analysis is run with the docker. To download the container, use docker pull jupyter/datascience-notebook.

To run the container, use docker run -it --rm -v "$PWD":/home/jovyan/work -p 8888:8888 jupyter/datascience-notebook.