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Forecasting critical food violations at restaurants using open data


PyData Dc 2016

Slides: Github:

As many as 105 million Americans suffer from foodborne illness annually. In 2014, the City of Chicago began forecasting these outbreaks targeting limited health inspection resources toward likely sites, showing a 7 day improvement in locating critical violations at food establishments. This talk provides an end-to-end walkthrough of predicting critical violations in Washington, DC using Python.

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