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deeplearn_wine_analise's Introduction

Deep Learning Python

Abstract: Two datasets are included, related to red and white vinho verde wine samples, from the north of Portugal. The goal is to model wine quality based on physicochemical tests (see [Cortez et al., 2009], UCI - Wine Quality Data Set ).

The data consists of two datasets that are related to red and white variants of the Portuguese “Vinho Verde” wine. link


Attribute Information:

Input variables (based on physicochemical tests):

  1. fixed acidity
  2. volatile acidity
  3. citric acid
  4. residual sugar
  5. chlorides
  6. free sulfur dioxide
  7. total sulfur dioxide
  8. density
  9. pH
  10. sulphates
  11. alcohol Output variable (based on sensory data):
  12. quality (score between 0 and 10)

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