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

Wine Quality Prediction using machine learning with python .i did this project in AINN(Artificial Intelligence and Neural Network) course .in this project i used red and white wine databases and machine learning libraries available in python

Predicting wine quality based on UCI Wine quality dataset

thesis for Mathematics in Machine Learning course at @Politecnico di Torino.

Wine Predicts

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

Implemented random forest machine learning algorithm using pyspark on AWS EMR to classify the wines. The model is then deployed in docker container.

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

A web app featuring five classification projects: Spam Mail Prediction, Titanic Survival Prediction, Wine Quality Prediction, Loan Status Prediction, and Credit Card Fraud Detection, all built with Streamlit.

Implementation of various ML algorithms and their application to real world problems

Wine Quality Prediction

Predicting quality of white wine using chemical attributes

A wine quality prediction machine learning model 🍷📈 uses data to assess and forecast the quality of wines, aiding wine enthusiasts and producers in making informed choices. 🤖👍🍇

Wine Quality Prediction Model (ML) ExtraTreesClassifier 88% Accuracy

This repository includes ml model of 1.House price prediction using linear regression model | 2.Wine Quality prediction using linear regression model | 3. IRIS Flowers Classification using logistic regression model

A continuous Machine Learning integration workflow using Github Actions. This project is based upon team collaboration for aesthetic version control for ML pipelines and deployement.

Predicting the quality of Wine

This is a ML Project of Wine Quality Prediction using Logistic Regression and Random Forest Classifier