This article was written by Matthew Mayo.
Scikit-learn is the de facto official machine learning library in use in the Python ecosystem. As described on its official website, Scikit-learn is:
This tutorial is meant to serve as a demonstration of several machine learning classifiers, and { is inspired by | references | incoporates techniques from } the following excellent works:
We will use the well-known Iris and Digits datasets to build models with the following machine learning classification algorithms:
We also use different strategies for evaluating models:
Some simple data investigation methods and tools will be undertaken as well, including:
This tutorial is brief, non-verbose, and to the point. Please alert me if you find inaccuracies. Also, if you find it at all useful, and believe it to be worth doing so, please feel free to share it far and wide.
To read the tutorial, with the demonstration, click here.
Posted 12 April 2021
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