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Forecasting critical food violations at restaurants using open data

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PyData Dc 2016

Slides: http://www.slideshare.net/NicoleDonnelly6/pydatadc-forecasting-critical-food-violations-at-restaurants-using-open-data Github: https://github.com/nd1/DC_RestaurantViolationForecasting

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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