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[SMWU 2018-1] DataScience_practice prediction with red-wine dataset🍷

This is the code to practice data science methods in scikit-learn through python.
Especially It focused on classification, evaluation, and clustering.

  • Wine Dataset informations (red-wine dataset)
    • Features : ['fixed acidity','volatile acidity','citric acid','residual sugar','chlorides','free sulfur dioxide','total sulfur dioxide','density','pH','sulphates','alcohol']
    • Target : quality (score between 0 and 10)
    • Citation: P. Cortez, A. Cerdeira, F. Almeida, T. Matos and J. Reis. Modeling wine preferences by data mining from physicochemical properties. In Decision Support Systems, Elsevier, 47(4):547-553, 2009.
    • More information or to download other dataset, visit WebLink.