![]() It was originally called scikits.learn and was initially developed by David Cournapeau as a Google summer of code project in 2007. This library, which is largely written in Python, is built upon NumPy, SciPy and Matplotlib. It provides a selection of efficient tools for machine learning and statistical modeling including classification, regression, clustering and dimensionality reduction via a consistence interface in Python. Scikit-learn (Sklearn) is the most useful and robust library for machine learning in Python. In this chapter, we will understand what is Scikit-Learn or Sklearn, origin of Scikit-Learn and some other related topics such as communities and contributors responsible for development and maintenance of Scikit-Learn, its prerequisites, installation and its features.
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