End to End Project - Estimate wine quality (Optional)

Note: This is an optional project which has been given for you to self-check your understanding of the prior concepts. We do not have the provision for manual assessment of the same.

Task: Estimate wine quality Estimate wine quality.

Input data available:

1. Wine quality database (Location: /cxldata/datasets/project/wine_quality_red.csv)

   • fixed acidity

   • volatile acidity

   • citric acid

   • residual sugar

   • chlorides

   • free sulfur dioxide

   • total sulfur dioxide

   • density

   • pH

   • sulphates

   • alcohol

   • quality (score between 0 and 10) – dependent variable.

Suggestions:

1. Divide the dataset into training and test dataset in the ratio 75:25 choosing random or stratified

Please use the forum below to discuss the problem and post queries.

Data source Acknowledgement: This dataset is taken from the UCI machine learning repository, https://archive.ics.uci.edu/ml/datasets/wine+quality