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wine-quality

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This project implements a Wine Quality Classifier using an Artificial Neural Network (ANN) to predict the quality of wine based on its chemical properties. The model is trained with a dataset containing 11 features, such as acidity, alcohol content, and sulfur levels. Achieving 84% training accuracy and 82% accuracy on the test set.

  • Updated Jun 30, 2025
  • Python

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