scikit-learn

Machine Learning in Python

Getting Started Release Highlights for 1.5
  • Simple and efficient tools for predictive data analysis
  • Accessible to everybody, and reusable in various contexts
  • Built on NumPy, SciPy, and matplotlib
  • Open source, commercially usable - BSD license

Classification

Identifying which category an object belongs to.

Applications: Spam detection, image recognition.
Algorithms: Gradient boosting, nearest neighbors, random forest, logistic regression, and more...

Examples

Regression

Predicting a continuous-valued attribute associated with an object.

Applications: Drug response, stock prices.
Algorithms: Gradient boosting, nearest neighbors, random forest, ridge, and more...

Examples

Clustering

Automatic grouping of similar objects into sets.

Applications: Customer segmentation, grouping experiment outcomes.
Algorithms: k-Means, HDBSCAN, hierarchical clustering, and more...

Examples

Dimensionality reduction

Reducing the number of random variables to consider.

Applications: Visualization, increased efficiency.
Algorithms: PCA, feature selection, non-negative matrix factorization, and more...

Examples

Model selection

Comparing, validating and choosing parameters and models.

Applications: Improved accuracy via parameter tuning.
Algorithms: Grid search, cross validation, metrics, and more...

Examples

Preprocessing

Feature extraction and normalization.

Applications: Transforming input data such as text for use with machine learning algorithms.
Algorithms: Preprocessing, feature extraction, and more...

Examples

News

  • On-going development: scikit-learn 1.6 (Changelog).
  • May 2024. scikit-learn 1.5.0 is available for download (Changelog).
  • April 2024. scikit-learn 1.4.2 is available for download (Changelog).
  • February 2024. scikit-learn 1.4.1.post1 is available for download (Changelog).
  • January 2024. scikit-learn 1.4.0 is available for download (Changelog).
  • October 2023. scikit-learn 1.3.2 is available for download (Changelog).
  • September 2023. scikit-learn 1.3.1 is available for download (Changelog).
  • June 2023. scikit-learn 1.3.0 is available for download (Changelog).
  • All releases: What's new (Changelog).

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