Restructured
Clean up directory
Cleaned up feature_selection
Adding feature indices to data.py
Mask numpy array
added the prediction model
Got rid of strings
Handled Strings
Merge branch 'feature' of https://github.com/sihrc/data-health-costs into feature
merge
Using Pandas for features categorization
Using pandas because pandas is cool and fast
finished doing modeling
Added comments
removed everything from data folder
added *.csv to gitignore
sorts and write feature importances to file
Added comment to writing and sorting feature data
Chunks the training to avoid memory error on 32-bit machines
removed sPickle alternative