Scikit-learn.org

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Overview & More informations

Scikit-learn 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.

Scikit-learn is built upon the SciPy stack, and is compatible with Python versions 3.5 and onwards. It provides a consistent interface to a range of machine learning algorithms, allowing users to easily compare and evaluate different models. The library also includes a number of utility functions for data preprocessing, feature engineering, and model evaluation.

Scikit-learn is widely used in academic research and industry. It is particularly popular in the field of natural language processing, where it is used for tasks such as text classification, sentiment analysis, and text generation.

Some of the key features of scikit-learn include:

• A wide range of supervised and unsupervised learning algorithms


• A consistent interface for all algorithms


• A number of utility functions for data preprocessing, feature engineering, and model evaluation


• Extensive documentation and tutorials


• A vibrant community of users and contributors

Scikit-learn is a powerful and versatile machine learning library that is easy to use and extend. It is a valuable resource for anyone working in the field of machine learning.

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