Project
Statistical Analysis of Wine Quality
Conducted exploratory multivariate analysis of a 6,497-sample Wine Quality dataset using linear regression, ANOVA, PCA, and factor analysis.
Identified key quality predictors and classified wines by colour with 92.4% logistic-regression accuracy.