read my blog @ https://medium.com/@theprasadpatil/exploratory-data-analysis-8fc1cb20fd15

This project is about the prediction of red wine quality using different machine learning algorithms

Practice Exercise from Data Analysis course of Udacity DAND

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.

A predictive data mining model to identify wines' qualities in dataset of wine information.

Red wine quality prediction based on multi-dimensional vectors. Each dimension is a different sensor metric. In the same repository, there is another model that predicts if a news title is fake or not (onion-or-not dataset).

Predicting the quality of a good bottle of wine

A machine learning demo with brain.js and wine quality

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

Comparison of the logistic regression, decision tree, and random forest models to predict red wine quality in R.

Some algorithms of machine learning like Regression, Cluster, Deep Learning, and much more.

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

Exploratory Data Analysis on White Wine Quality Using r

This project help to determine the quality of wine using data analysis

We build a machine learning model to predict if a wine is considered as good or not. The model takes as input some wine characteristics (alcohol content, acidity, etc), and then describes the quality of the wine as (“Good” or “Bad”). We starts with decision tree and then use Random Forest to improve our classification scores.

Red wine data exploration and analysis

Classifying quality of wine

Wine Predicts