Link - https://github.com/15nsingh/Wine_binary_classification - Performed in-depth exploratory data analysis and visualization on the Wine dataset to identify key features influencing binary wine quality classification. Utilized advanced techniques to derive actionable insights for model development. – Built and optimized Support Vector and Random Forest classifiers using Grid Search for hyperparameter tuning; evaluated performance and classification accuracy through Confusion Matrix analysis, ensuring precise and reliable predictions.