Analyzing Red Wine Quality using R with libraries using mostly knitr and dplyr

Exploratory Data Analysis on White Wine Quality Using r

White Wine Exploratory Analysis

Practice Exercise from Data Analysis course of Udacity DAND

Analyzing relationship between chemical properties and the quality of wine, and using it to predict the wine quality on a scale of 1-10.

Predicting the quality of a good bottle of wine

Use R and apply exploratory data analysis techniques to explore relationships in one variable to multiple variables and to explore the red wine data set for distributions, outliers, and anomalies.

Predicting wine quality based on its chemical properties

In this project, I have used Decision Trees and Logistics Regression to answer the question of what makes a wine good!

Coursework submission for EE3-23 Machine Learning module

Classifying quality of wine

In this exploration I will be examining a data set of white wine data to try to determine which chemical properties of wine may be useful in helping to predict it's quality (using the R language).

Wine-quality has been predicted through supervised learning using regression and classification models.

Trying to analyse the wine dataset and make predictions using RandomForestClassifier

Linear Regression Analysis on Wine data - Pre-processing data, Exploratory Data Analysis, Building a model, Check assumptions, Goodness of fit and Compare with different methods.

Udacity's Nanodegree program built in partnership with Kaggle and Mode that aims at training new Data Analysts mastering Python, R, SQL, and statistics to uncover insights, communicate critical findings, and create data-driven solutions.

Wine is classified on the basis of wine Quality using various machine learning techniques like SVM,Decision Trees and Random forest Classifier.