This ML project predicts the quality of wine by classifying it into two categories - Good quality and Bad quality - using parameters such as acidity, density, pH level, percentage of chlorides, percentage of sulphur etc.
The dataset contains the features
- Fixed acidity
- Volatile acidity
- Citric acid
- Residual sugar
- Chlorides
- Free sulfur dioxide
- Total sulfur dioxide
- Density
- pH
- Sulphates
- Alcohol quality
The alcohol quality is taken to be the target variable.
Number of data points : 1599
