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)

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