Analyzing Wine Types and Quality

Abstract

In the last chapter, we looked at specific case studies leveraging unsupervised Machine Learning techniques like clustering and rule-mining frameworks. In this chapter, we focus on some more case studies relevant to supervised Machine Learning algorithms and predictive analytics. We have looked at classification based problems in Chapter 7, where we built sentiment classifiers based on text reviews to predict the sentiment of movie reviews. In this chapter, the problem at hand is to analyze, model, and predict the type and quality of wine using physicochemical attributes. Wine is a pleasant tasting alcoholic beverage, loved by millions across the globe. Indeed many of us love to celebrate our achievements or even unwind at the end of a tough day with a glass of wine! The following quote from Francis Bacon should whet your appetite about wine and its significance.