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Beer Wine Classification by Machine Learning based on alcoholic content and color

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Machine Learning Example

Wine-Beer Classification

A sample program by which user can differentiate between bottles of Wine and Beer. The classification is done based on following factors:

  • Alcoholic content
  • Color of Liquid (Red/Amber)

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We are using Sklearn library of python here. Scikit-learn provides a range of supervised and unsupervised learning algorithms via a consistent interface in Python.

Following command need to be run to play this repo code.

  • Sci-kit : $ pip install -U scikit-learn
  • Sci-py : $ pip install scipy

Get complete code environment in docker image:

> docker pull tarunmaini/wine-beer-classification