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Sklearn-standard-wine-classification

  • Extracting the tabular form of sklearn inbuilt dataset.
  • Applying basic preprocessing, data visualization and PCA on the data.
  • Pipelining the preprocessing and model building.
  • Tabulating the error metrics values of each model's classifications.

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