GitHub - digital-mila/WineQuality: Final project for DSCI 100: Developed a KNN classification model in R to predict wine quality using physicochemical properties. Conducted data preprocessing, feature selection, and cross-validation to evaluate model performance.

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proposal_wine+acidity.html		proposal_wine+acidity.html
proposal_wine+acidity.ipynb		proposal_wine+acidity.ipynb
wine_rating-final.html		wine_rating-final.html
wine_rating-final.ipynb		wine_rating-final.ipynb
winequality-red.csv		winequality-red.csv
winequality-white.csv		winequality-white.csv

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Final project for DSCI 100: Developed a KNN classification model in R to predict wine quality using physicochemical properties. Conducted data preprocessing, feature selection, and cross-validation to evaluate model performance.

data-science machine-learning r cross-validation feature-selection classification data-analysis academic-project data-preprocessing wine-quality knn-model physicochemical-analysis

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