This is documentation for an old release of Scikit-learn (version 0.19). Try the latest stable release (version 1.6) or development (unstable) versions.
Identifying to which category an object belongs to.
Applications: Spam detection, Image recognition.
Algorithms:
Predicting a continuous-valued attribute associated with an object.
Automatic grouping of similar objects into sets.
Applications: Customer segmentation, Grouping experiment outcomes
Algorithms:
Reducing the number of random variables to consider.
Applications: Visualization, Increased efficiency
Algorithms:
Comparing, validating and choosing parameters and models.
Goal: Improved accuracy via parameter tuning
Modules:
Feature extraction and normalization.
Application: Transforming input data such as text for use with machine learning algorithms.
Modules:preprocessing, feature extraction.
News
- On-going development: What's new (Changelog)
- July 2018. scikit-learn 0.19.2 is available for download (Changelog).
- October 2017. scikit-learn 0.19.1 is available for download (Changelog).
- July 2017. scikit-learn 0.19.0 is available for download (Changelog).
- June 2017. scikit-learn 0.18.2 is available for download (Changelog).
- September 2016. scikit-learn 0.18.0 is available for download (Changelog).
- November 2015. scikit-learn 0.17.0 is available for download (Changelog).
- March 2015. scikit-learn 0.16.0 is available for download (Changelog).
Community
- About us See authors and contributing
- More Machine Learning Find related projects
- Questions? See FAQ and stackoverflow
- Mailing list: scikit-learn@python.org
- IRC: #scikit-learn @ freenode