Wine Quality Prediction Project

Table of Contents

• Introduction
• Installation
• Usage
• Contributions
• License

Introduction

This project aims to predict the quality of wine based on various physicochemical properties. The dataset used in this project contains 1599 entries and 13 columns, each representing a different property of the wine.

Installation

The project requires the following Python libraries: numpy, matplotlib, pandas, seaborn, and warnings. You can install these using pip:

pip install numpy matplotlib pandas seaborn jupyter

Usage

After installing the necessary libraries, you can clone this repository and run the main script:

https://github.com/kunalPisolkar24/wineQualityPrediction.git
cd wineQualityPrediction
jupyter Wine_Quality.ipynb

🤝 Contributions:

Contributions from students, educators, and enthusiasts are highly encouraged. If you have additional practicals, improvements, or fixes to share, feel free to open a pull request. Please adhere to the contribution guidelines in CONTRIBUTING.md.

📄 License:

This repository is licensed under the MIT License. You are free to use, modify, and distribute the code for academic and personal purposes.