https://github.com/dhrupad17/codeclause_wine_quality_prediction

This is My Task 2 as a Data science Intern at CodeClause
https://github.com/dhrupad17/codeclause_wine_quality_prediction

codeclause codeclause-task datascience jupyter-notebook python3

Last synced: 3 months ago
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This is My Task 2 as a Data science Intern at CodeClause

• Host: GitHub
• URL: https://github.com/dhrupad17/codeclause_wine_quality_prediction
• Owner: dhrupad17
• License: mit
• Created: 2023-02-27T07:49:28.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2023-02-27T08:00:11.000Z (about 2 years ago)
• Last Synced: 2025-01-16T07:56:20.689Z (4 months ago)
• Topics: codeclause, codeclause-task, datascience, jupyter-notebook, python3
• Language: Jupyter Notebook
• Homepage:
• Size: 107 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# 🍷 Wine Quality Prediction 🍻

## Description

For this project, I used Kaggle’s Red Wine Quality dataset to build various classification models to predict whether a particular red wine is “good quality” or not. Each wine in this dataset is given a “quality” score between 0 and 8. For the purpose of this project, I converted the output to a binary output where each wine is either “good quality” (a score of 7 or higher) or not (a score below 7). Here I have used ``Random Forest Algorithm`` to create my prediction model.

### Dataset:-

https://www.kaggle.com/datasets/uciml/red-wine-quality-cortez-et-al-2009?select=winequality-red.csv

### Overview:-

![image](https://user-images.githubusercontent.com/91726340/221506269-05e5f8be-a1ec-4b07-89dc-cb6bb2c3e009.png)

![image](https://user-images.githubusercontent.com/91726340/221506400-95f40794-479d-4834-b858-8ee0f716fefb.png)

![image](https://user-images.githubusercontent.com/91726340/221506484-7524ce91-fa17-4981-9f52-b7b03e16a21e.png)

![image](https://user-images.githubusercontent.com/91726340/221506547-e4cdaab0-92f3-40a8-98e5-5a0025307456.png)

### Thank You