Nicole Donnelly | Forecasting critical food violations at restaurants using open data
377 views · Published 24 October 2016 · 25:26 · Indexed 14 November 2026
Channel: PyData · 2016 · Science & Technology
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. 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps
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