sklearn

scikit-learn, often imported as sklearn, is a free software machine learning library for the Python programming language. It features various classification, regression, and clustering algorithms including support vector machines, random forests, gradient boosting, k-means, and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. The library is built upon NumPy, SciPy, and Matplotlib.

scikit-learn provides efficient tools for predictive data analysis that are accessible to everybody. It is a simple and efficient tool for data mining and data analysis. Built upon NumPy, SciPy, and Matplotlib, it aims to be accessible to non-experts and reusable in various contexts. It is an important tool for data scientists and developers working with machine learning in Python.

The library offers a comprehensive suite of tools for common machine learning tasks. This includes modules for data preprocessing, model selection, and evaluation. Its consistent API makes it easy to switch between different algorithms and compare their performance. scikit-learn is widely used in both academic research and industrial applications due to its ease of use, robustness, and extensive documentation. It is a fundamental component of the Python data science ecosystem.