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cuisine

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This project builds a machine learning model to predict a recipe’s cuisine based on its ingredients. Ingredients are cleaned, vectorized using TF-IDF, and reduced in dimensionality with PCA. Various models, including Logistic Regression, SVM, and Random Forest, are trained and evaluated to achieve accurate cuisine classification.

  • Updated Jan 26, 2025
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