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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.
Ansuman21/Data-Science-Final-Project
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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.
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