https://github.com/rohithmacharla11/wine-quality-prediction

https://github.com/rohithmacharla11/wine-quality-prediction

Last synced: about 1 month ago
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• Host: GitHub
• URL: https://github.com/rohithmacharla11/wine-quality-prediction
• Owner: RohithMacharla11
• Created: 2024-02-05T12:23:02.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2024-02-05T12:26:40.000Z (11 months ago)
• Last Synced: 2024-02-05T13:38:54.183Z (11 months ago)
• Language: Jupyter Notebook
• Size: 152 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Wine-Quality-Prediction

## Overview

This project focuses on predicting the quality of wine using machine learning techniques. 

The quality of wine is an essential factor for winemakers, and predicting it can help in maintaining and improving the overall quality of their products. 

The project utilizes various machine learning algorithms to analyze chemical properties and predict the quality of wine.

## Introduction

Wine Quality Prediction involves building a machine learning model to predict the quality of wine based on various chemical properties. 

This project explores the use of different algorithms to achieve accurate predictions.

## Dataset

The dataset used for this project is [provide_dataset_name]. It contains [number_of_entries] entries with [number_of_features] features, including the target variable indicating the quality of the wine.

## Features

- Fixed Acidity

- Volatile Acidity

- Citric Acid

- Residual Sugar

- Chlorides

- Free Sulfur Dioxide

- Total Sulfur Dioxide

- Density

- pH

- Sulphates

- Alcohol