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ml_ingredient_prediction

ettorecar / ml_ingredient_prediction

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This project allows the use of machine learning to predict the ingredients of a recipe. In particular, it has been implemented on a poke recipe in which a series of ingredients (i.e. 8) are passed as input and the software returns 2 missing (for example the topping and the sauce). The model used is Multi Target Forest and Scikit Learn ML library

machine-learning scikit-learn forest artificial-intelligence ingredients prediction-model multitarget classifier-training receipe bowl ingredients-list
  • Updated Dec 11, 2023
  • Python

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