Featured
2023

Wine Quality Prediction

Developed a high-accuracy wine quality prediction model using machine learning algorithms including Logistic Regression, Naive Bayes, and Random Forest. The model analyzes various wine ingredients and chemical properties to predict quality ratings. Achieved an impressive 98% accuracy, making it a reliable tool for wine quality assessment and production optimization.

Machine Learning
Python
Logistic Regression
Random Forest
Food Science
High Accuracy
Source Code

Project Overview

Developed a high-accuracy wine quality prediction model using machine learning algorithms including Logistic Regression, Naive Bayes, and Random Forest. The model analyzes various wine ingredients and chemical properties to predict quality ratings. Achieved an impressive 98% accuracy, making it a reliable tool for wine quality assessment and production optimization.

Technologies Used

Machine LearningPythonLogistic RegressionRandom ForestFood ScienceHigh Accuracy

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