https://github.com/chandkund/wine-quality-prediction
This project predicts wine quality based on physicochemical properties using machine learning models. By leveraging Random Forest Classifier, Logistic Regression, and SVM, the goal is to classify wines into quality categories and uncover the key factors that influence wine quality.
https://github.com/chandkund/wine-quality-prediction
logistic-regression matplotlib numpy pandas-python random-forest-classifier svm-classifier
Last synced: 2 months ago
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This project predicts wine quality based on physicochemical properties using machine learning models. By leveraging Random Forest Classifier, Logistic Regression, and SVM, the goal is to classify wines into quality categories and uncover the key factors that influence wine quality.
- Host: GitHub
- URL: https://github.com/chandkund/wine-quality-prediction
- Owner: chandkund
- License: mit
- Created: 2024-12-30T17:55:04.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-04T13:06:37.000Z (over 1 year ago)
- Last Synced: 2025-06-01T07:52:29.923Z (about 1 year ago)
- Topics: logistic-regression, matplotlib, numpy, pandas-python, random-forest-classifier, svm-classifier
- Language: Jupyter Notebook
- Homepage:
- Size: 672 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE