Keeping it Fresh: Predict restaurant inspections
By: Bhavita Jaiswal, Kirti Maharwal, Rawan Alharbi, Surabhi Ravishankar
Project for: EECS 349 Machine Learning, Spring 2015, Northwestern University, Doug Downey
The City of Boston regularly conducts inspection of restaurants to monitor if restaurants are following food safety and public health rules. It records health violations for all the restaurants at three different levels: *(one star) "minor", ** (2 stars) - "major", and ***(3 stars) - "severe" violations. Our goal is to predict the number of health violation for all three levels during an inspection of a restaurant in the city of Boston on a specific date using Yelp data. This task is important as it can substantially improve the City’s inspection efforts and can change the way inspections are organized.
Read more here.
Read final status report here.
Read more here.
Read final status report here.