This report is based on a white wine dataset and uses regression and classification models to predict and analyze wine quality. Through EDA, the main physical and chemical attributes are explored, and linear regression, logistic regression, and random forest models are constructed. Finally, the model performance is evaluated and summarized to identify the key factors affecting wine quality.