Recipe Nutritional Analysis

Ömer Faruk Seçim

2023 Spring
BS723 | Machine Learning Applications in Architecture

Given a dataset of recipes with their corresponding ingredient lists and nutritional information, the task is to build a predictive model that can estimate the nutritional content (calories, fat content, saturated fat content, cholesterol content, sodium content, carbohydrate content, fiber content, sugar content, protein content) of a recipe based on its ingredient list. The model should be able to handle multi-output regression, as there are multiple nutritional variables to predict.

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