GitHub topics: red-wine
mayankyadav23/Red-Wine-Quality-Prediction
Predict the quality of red wine using 💡 Machine Learning models. Features 📊 data preprocessing, 🔍 EDA, and 🧠 models like Random Forest and Linear Regression for precise predictions based on chemical properties. Cheers to data science! 🥂
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amberkakkar01/Prediction-of-Wine-Quality
This project is about the prediction of red wine quality using different machine learning algorithms
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Ishan-Kotian/Red-Wine-Quality-Analysis
These datasets can be viewed as classification or regression tasks. The classes are ordered and not balanced (e.g. there are much more normal wines than excellent or poor ones).
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caesarmario/multiple-linear-regression-and-factor-analysis-red-wine-quality-using-IBM-SPSS
This repository stored the output of IBM SPSS's multiple linear regression and factor analysis of red wine quality dataset. The dataset used is from Kaggle (https://www.kaggle.com/uciml/red-wine-quality-cortez-et-al-2009). The software used in this repository is IBM SPSS 26
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