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Prediction of Shopper Loyalty 
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Tarun Tater, Madhumathi K and Tanmayee Narendra
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Files --
* ShopperLoyalty.ipynb: code for training and evaluating models
* ShopperLoyalty.py: python code 
* ml_project_report.pdf: Project report

It is recommended that the reader goes through code in the ipynb file
(instead of .py file) as it is better documented and annotated.

Some points to note --
* data set is not included due to its large size
* to view the .ipynb file, you will need to install ipython notebook
    pip install ipython[notebook]
* documentation about dataset maybe found at 
    https://www.kaggle.com/c/acquire-valued-shoppers-challenge/data

Queries/ Questions may be sent to
    [email protected] 
    [email protected]
    [email protected]