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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.


  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

No hints are availble for this assesment

Answer is not availble for this assesment

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