What Does Scikit-Learn Mean?

Scikit-learn is a key library for the Python programming language that is typically used in machine learning projects. Scikit-learn is focused on machine learning tools including mathematical, statistical and general purpose algorithms that form the basis for many machine learning technologies. As a free tool, Scikit-learn is tremendously important in many different types of algorithm development for machine learning and related technologies.


Techopedia Explains Scikit-Learn

Some of the big key elements of Scikit-learn useful for machine learning include classification, regression and clustering algorithms. For example, Scikit-learn supports work on random forests, where individual digital trees hold node information that is combined in multiple tree architectures to achieve a forest approach. Another way of talking about this is that each tree involves clustered nodes in a tree topology, and analysis from various trees is added together to get a global approach that more accurately crunches data to show outcomes.

In addition to random forest, Scikit-learn helps with gradient boosting, vector machines and other elements of machine learning that are key to achieving results. As the overarching resource, Scikit-learn works with tools like SciPy and matplotlib that provide visualization and much more.


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Margaret is an award-winning technical writer and teacher known for her ability to explain complex technical subjects to a non-technical business audience. Over the past twenty years, her IT definitions have been published by Que in an encyclopedia of technology terms and cited in articles by the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine, and Discovery Magazine. She joined Techopedia in 2011. Margaret's idea of a fun day is helping IT and business professionals learn to speak each other’s highly specialized languages.