sdcharle / kaggle-madtown-machine-learning-madness-2019

Below you can find a outline of how to reproduce our solution for the Men's 2019 March Madness competition.

If you run into any trouble with the setup/code or have any questions please contact Young at [e-mail]

HARDWARE

Canonical, Ubuntu, 18.04 LTS, amd64 bionic image build on 2019-02-12 (AWS AMI)

SOFTWARE (python packages are detailed separately in requirements.txt):

Python 3.6.7

DATA PROCESSING

python ./prepare_data.py

MODEL BUILD

python ./train.py

GENERATE SUBMISSION

python ./predict.py

REFERENCE

Our development workflow can be found in the repo below. It contains source files and notebooks for several other methods we've explored but didn't adopt for the final submission. The project website documents initial model exploration.

Github: https://github.com/YouHoo0521/kaggle-march-madness-men-2019/

Website: https://youhoo0521.github.io/kaggle-march-madness-men-2019/