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wine

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We're going to use information like Input variables (based on physicochemical tests): fixed acidity, volatile acidity, citric acid, residual sugar, chlorides, free sulfur dioxide, total sulfur dioxide, density, pH, sulphate, alcohol to predict quality of wine (score between 0 and 10). The dataset for this problem is taken from: https://archive.i…

  • Updated Jun 6, 2020
  • Jupyter Notebook

In this project I did lot of efforts because the dataset used was imbalanced that's why i couldn't find any ML algorithms that gave me good results, I tried different Sampling techniques, although nothing happened. Finally I build this project using ANN and got an 77% accuracy and also very good precision, recall and f1 score.

  • Updated Sep 20, 2024
  • Python

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