Oct. 13 will be a big day for the D.C. restaurant scene. Inevitably, some will celebrate and others will mourn when the first-ever Michelin guide to restaurants in the District is released.
But here’s a question: Can data science help us predict who will win the stars?
That’s the gist behind this contest sponsored by General Assembly and the Michelin Guide. The contest calls on data scientists to use APIs, webscraping, previous city guides, other reviews, subject matter expertise and more to try to figure out which restaurants will be included in the guide, and how many stars each will get.
https://twitter.com/DataLensDC/status/780853217659727872
The data scientist who makes the best prediction will win $500 and an invite to the unveiling of the Guide at the French Ambassador’s residence on Oct. 13. There’s a bunch of info on this GitHub page about how the contest will be scored and what participants need to submit — but the basics are that all submissions are due by 11:59 p.m. on Oct. 12 (for obvious reasons).
Feeling confident about your data science abilities in this arena? We’d love a preview of your work so we know which restaurants to visit before it’s impossible to get a table. ?
Mama Ayesha's Restaurant in Washington, D.C.
(Photo by Flickr user NCUSAR, used under a Creative Commons license)
Companies: General Assembly
