Skip to content

This project analyzes NYC restaurant inspections, leveraging business acceleration data to predict inspection grades using machine learning models. The Random Forest model performed best, demonstrating high accuracy and identifying key features influencing food safety compliance and inspection outcomes.

Notifications You must be signed in to change notification settings

Ansuman21/Data-Science-Final-Project

About

This project analyzes NYC restaurant inspections, leveraging business acceleration data to predict inspection grades using machine learning models. The Random Forest model performed best, demonstrating high accuracy and identifying key features influencing food safety compliance and inspection outcomes.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages