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Adds options, removes static data #4

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2 changes: 2 additions & 0 deletions .gitignore
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/data*
.idea
.DS_Store
29 changes: 25 additions & 4 deletions README.md
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This is the code I used for my submission for the 2016 March Madness Kaggle competition. It landed me in 63rd place out of 598 people, with a logloss of 0.544479.
Let's predict March Madness results using Kaggle NCAA Basketball data!

Run with:
Inputs
======

```python3 mm.py```
Uses data from the Kaggle competition, ie https://www.kaggle.com/c/march-machine-learning-mania-2017/data

Import data from CSV files into a data directory.

Requirements
============

Python3

```pip install -r requirements.txt```

To run
======

```python3 mm.py -d <data directory>```

Outputs
=======

- less-readable-predictions.csv
- readable-predictions.csv
- submission.csv

Full writeup here: https://medium.com/@harvitronix/this-is-how-i-used-machine-learning-to-accurately-predict-villanova-to-win-the-2016-march-madness-ba5c074f1583#.e6xllp64p
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