International Journal of Engineering Applied Sciences and Technology, 2019 Vol. 4, Issue 3, ISSN No. 2455-2143, Pages 519-529 Published Online July 2019 in IJEAST (http://www.ijeast.com) 519 ANALYZING WINE TYPES AND QUALITY USING MACHINE LEARNING TECHNIQUES Sowmya D Sayyed Johar Department of CSE Department of CSE JNNCE, Shivamogga, Karnataka, India JNNCE, Shivamogga, Karnataka, India Ganavi M Sankhya N Nayak Department of CSE Department of CSE JNNCE, Shivamogga, India JNNCE, Shivamogga, India Abstract— This paper helps to solve the major problems by leveraging Machine Learning and data analysis on wine quality dataset by Training, Predicting & Evaluating Model using Decision Tree, Random Forests and predict if each wine sample is a red or white wine and predict the quality of each wine sample, which can be low, medium, or highWine is a beverage from fermented grape and other fruit juices with a lower amount of alcohol content. Quality of wine is graded based on the taste of wine and vintage. . Tasting it is an ancient process as the wine itself is. When it comes to the quality of the wine, many other factors or attributes come into consideration other than the flavour. The dataset that to analyse ‘Wine Quality’, represents the quality of wines ( white & red ) based on different physiochemical attributes ( fixed acidity, volatile acidity, citric acid, residual sugar, chlorides, free sulphur dioxide, total sulphur dioxide, density, pH, sulphates, and alcohol ). The quality score for each wine combination in the dataset varies from 0 to 10 (ranging from least to highest). This analysis will uncover some important relationships between wine chemical contents like acidity and sugar levels versus its quality. The dataset exhibits a vast and distinct chemical and acidic combination of two types of wine (white & red). By employing smart data analysis techniques, a hand full of important and interesting insights that would be helpful in predicting wine quality and type that would also be prolific for the economic/financial sector and business sector of the production company can be unearthed Keywords—data set, machine learing, decision tree, physiochemical attributes I. INTRODUCTION Wine (from Latin vinum) is an alcoholic beverage made from grapes, fermented without the addition of sugars, acids, enzymes, water, or other nutrients. Yeast consumes the sugar in the grapes and converts it to ethanol and carbon dioxide. Different varieties of grapes and strains of yeasts produce different styles of wine. These variations result from the complex interactions between the biochemical development of the grape, the reactions involved in fermentation, the terroir and the production process. Wines not made from grapes include rice wine and fruit wines such as plum, cherry, pomegranate and elderberry. Wine has been produced for thousands of years. Wine quality assessment is one of the key elements in this context and this assessment can be used for certification. Such type of quality certification helps to assure wine quality in market. Attributes of wine will decide the quality of the wines. In the past few years, with the availability of lot of wine brands it is difficult to identify the good quality wines. Good quality wine depends on the so many important factors such as chemical, scientific as well as technical factors. In the last few year's machine learning techniques caught lot of attention in every field. Most of the machines learning techniques are able to produce highly accurate result that compels most of the data scientist to implement it in case of predictive analytics. Here we considered only red wine and white wine analysis. Red wine is made from dark- colored grape varieties. The actual color of the wine can range from violet, typical of young wines, through red for mature wines, to brown for older red wines. The juice from most purple grapes is actually greenish-white; the red color comes from anthocyan pigments (also called anthocyanins) present in the skin of the grape; exceptions are the relatively uncommon teinturier varieties, which actually have red flesh and produce red juice. Fermentation of the non- colored grape pulp produces white wine. The grapes from which white wine is produced are typically green or yellow. Other white wines are blended from multiple varieties; Tokay, Sherry, and Sauternes are examples of these. Dark-skinned grapes may be used to produce white wine if the wine-maker is careful not to let the skin stain the wort during the separation of the pulp-juice. A major challenge faced by analysing wine type and quality is getting perfect accuracy within less time in the final result. This can be achieved by using some machine learning techniques. Wine Attributes and Properties Different attributes which are present in the wine which determine the wine types and its quality. Properties and attributes we have considered are: • Fixed acidity: Acids are one of the fundamental properties of wine and contribute greatly to the taste of the wine. Reducing acids significantly might lead to wines tasting flat. This variable is