Name: Wine Dataset
Creator: Kaggle
License: http://opendatacommons.org/licenses/dbcl/1.0/

About this Dataset

Wine Dataset

🍷 About the Wine Dataset:
The Wine dataset is a classic multiclass classification dataset from the UCI Machine Learning Repository. It contains 13 chemical properties of wines derived from three different cultivars. Features include alcohol content, malic acid, ash, magnesium, phenols, and more.

In this notebook, I explored 12 key features, visualized distributions, handled outliers, and applied MinMax Scaling to normalize the data. Scaling ensures that all features contribute equally to machine learning models, improving stability and performance.

Tables

Wine Dataset

@kaggle.huzaifaansariwithpy_wine_dataset.wine_dataset

18.89 kB
178 rows
14 columns

CREATE TABLE wine_dataset (
  "class" BIGINT,
  "alcohol" DOUBLE,
  "malic_acid" DOUBLE,
  "ash" DOUBLE,
  "alcalinity_of_ash" DOUBLE,
  "magnesium" BIGINT,
  "total_phenols" DOUBLE,
  "flavanoids" DOUBLE,
  "nonflavanoid_phenols" DOUBLE,
  "proanthocyanins" DOUBLE,
  "color_intensity" DOUBLE,
  "hue" DOUBLE,
  "od280_od315_of_diluted_wines" DOUBLE,
  "proline" BIGINT
);