Scikit-learn is one of the most widely used Python packages for data science and machine learning. It allows you to perform many operations and provides various algorithms. Scikit-learn also provides documentation for the background of algorithms used with classes, methods, and functions.
Scikit-learn Features :
- data processing,
- Dimensional downsizing,
- model selection,
- cluster analysis.
It also provides several sets of data that you can use to test your models.
Scikit-learn doesn't apply everything about machine learning. For example, there is no comprehensive support for:
- neural networks,
- self-regulating maps (Kohonen networks),
- learning the connotation rule,
- learning reinforcements, etc.
Scikit-learn is built on NumPy, SciPy, and Matplotlib, so you need to understand at least the basic splendours of these two libraries to apply effectively.
Scikit-learn is an open source package. Like most things in the Python ecosystem, it's free even for commercial use. Licensed with BSD license.
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