red-wine-quality-dataset
There are 0 repository under red-wine-quality-dataset topic.
amberkakkar01 / Prediction-of-Wine-Quality
This project is about the prediction of red wine quality using different machine learning algorithms
Language:Jupyter Notebook 34Soumyajit2411 / Machine-Lerning-with-Python
Verzeo Machine Learning With Python
Language:Jupyter Notebook 2PanicMilica / wine-quality-prediction-implementation-random-forest-from-scratch
I implemented the Random Forest Algorithm, from the scratch, to predict the quality of red wine. The algorithm proved to be quite accurate.
Language:Jupyter Notebook 0SeoK106 / SMWU_2018-1_DataScience_practice-prediction-with-wineData
Practice classification,evaluation and clustering with red-wine dataset.
Language:Python 0shamikaredkar / RedWineQuality-MLProject
The project applied machine learning to predict red wine quality using the UCI dataset. Key steps included data exploration, model selection (with a focus on a stacking classifier), and evaluation using metrics like F1 Score. Feature importance was also analyzed for insights.
Language:Jupyter Notebook 0amruta33 / End_to_End_Mlproject_MLflow
This project is about the prediction of red wine quality using different machine learning algorithms with MLOps and CICD pipeline.
Language:CSScaesarmario / 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