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RamHacks 2018, this is a project that uses machine learning and data visualization to gamify job searching and home ownership.

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Dwell

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RamHacks 2018, this is a project that uses machine learning and data visualization to gamify job searching and home ownership.

Example

The python module can be used via command-line arguments. This requires installing deepchem, and all it's dependencies

calling 'python graphConvolution.py -h' will give information about the command-line arguments example python call: 'python graphConvolution_BBBdata.py --filename 'finaldata.csv' --split_method='index' --training_fraction 0.6 --testing_fraction 0.2 --validation_fraction 0.2 --confusion_matrix --split 0.5 --generate'

Note: any data for training or predicting must be located in the 'data' directory. Note: data must be in the csv format

Try it!

Take a look at our Beta web app HERE!

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RamHacks 2018, this is a project that uses machine learning and data visualization to gamify job searching and home ownership.

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