MoraisMNS/Wine-Quality-Prediction-using-Random-Forest-Classifier
View on GitHub ↗Related repositories →This is a predictive model using Random Forest Classifier. This algorithm delves into the intricate interplay of wine characteristics such as fixed acidity, volatile acidity,density,pH,sulphates,alchohols and citric acid etc. Sourced from Kaggle, the dataset forms the cornerstone of this project.
active 2024-03-25 → 2024-03-25 (UTC)
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Line chart, 1 days from 2024-03-25 to 2024-03-25. Pushes: 2 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
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Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| MoraisMNS | 2 | 2 | 0 | 0 |
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