A machine learning project that predicts wine quality (good vs bad) using physicochemical properties. Built using Python, Pandas, Scikit-learn, with models like Random Forest and SVM, including data preprocessing, feature engineering, scaling, and hyperparameter tuning.
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A machine learning project that predicts wine quality (good vs bad) using physicochemical properties. Built using Python, Pandas, Scikit-learn, with models like Random Forest and SVM, including data preprocessing, feature engineering, scaling, and hyperparameter tuning. machine-learning classification python scikit-learn data-science ml-project
rakzhu/wine-quality-prediction-ml
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A machine learning project that predicts wine quality (good vs bad) using physicochemical properties. Built using Python, Pandas, Scikit-learn, with models like Random Forest and SVM, including data preprocessing, feature engineering, scaling, and hyperparameter tuning. machine-learning classification python scikit-learn data-science ml-project
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