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This project is about the prediction of red wine quality using different machine learning algorithms

his project implements a complete ML pipeline with data ingestion, validation, transformation, model training, and evaluation using MLflow for experiment tracking.

No description available from source.

Predicting the Quality of Red Wine using Machine Learning Algorithms for Regression Analysis, Data Visualizations and Data Analysis.

No description available from source.

No description available from source.

In this project I have made predictions for a wine quality based on several features such as PH level, alcohol content etc. of a wine. The wine is classified as 'good', 'average' and 'bad'.

The Red Wine Quality dataset from kaggle. Data is provided of the composition of the wine having different chemicals. I have used pandas to manipulate the data and seaborn to visualize the data. Finally I have made predictions on the wine quality by using various models from the scikit-learn.

Machine learning–based wine quality classification using ensemble models, featuring White vs Red wine comparison, feature importance analysis, and statistical validation.

Wine Quality Prediction: Jupyter Notebook containing machine learning models to predict wine quality based on various features. Includes data preprocessing, model training, evaluation, and insights. Ideal for understanding predictive analytics and model deployment.