Working on kaggle titanic problem
- data goes into /data
- code goes into /bin
generateDatasets.py will take the CSV input files and generate the datasets that will be used later with the models. Once processed and features have been added to the datasets the objects are pickled (pickle.dump()) and stored in the /data directory.
modelDatasets.py loads the pickled data sets (pickle.load()) from the data directory and then applies models to them.
The binary file created by this script will not be uploaded to github, so run ./generateDatasets.py before ./modelDatasets.py for best results.