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

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

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.

This Repository contains the Wine Quality Test Project.

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

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

Data exploration and prediction of quality of wine.

Machine Learning classification problem displayed with Flask Application

🍷🔬 Wine Quality and Forecast 🍾🍇

A machine learning demo with brain.js and wine quality

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

Building classification models to predict quality of wines. (Accuracy = 71.33%)

Used Multiple Linear Regression which will predict the quality of wine using 11 features.

Wine Predicts

Keywords—classification, supervised learning, Random Forest, K-Nearest Neighbor(K-NN), Naïve Bayes, Decision tree, Support Vector machine

Implementation of K-Nearest Neighbors from scratch using Pytorch

A machine learning model to predict wine quality based on physicochemical features, with a Streamlit web interface.