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  1. Getting Started — scikit-learn 1.7.2 documentation

    The purpose of this guide is to illustrate some of the main features of scikit-learn. It assumes basic working knowledge of machine learning practices (model fitting, predicting, cross-validation, etc.).

  2. scikit-learn: machine learning in Python — scikit-learn 1.7.2 …

    scikit-learn Machine Learning in Python Getting Started Release Highlights for 1.7

  3. User Guide — scikit-learn 1.7.2 documentation

    Jan 1, 2010 · 9. Computing with scikit-learn 9.1. Strategies to scale computationally: bigger data 9.1.1. Scaling with instances using out-of-core learning 9.2. Computational Performance 9.2.1. …

  4. scikit-learn Tutorials — scikit-learn 1.4.2 documentation

    Statistical learning: the setting and the estimator object in scikit-learn Supervised learning: predicting an output variable from high-dimensional observations

  5. 1. Supervised learning — scikit-learn 1.7.2 documentation

    Jan 1, 2010 · Linear Models- Ordinary Least Squares, Ridge regression and classification, Lasso, Multi-task Lasso, Elastic-Net, Multi-task Elastic-Net, Least Angle Regression, LARS Lasso, …

  6. Examples — scikit-learn 1.7.2 documentation

    This is the gallery of examples that showcase how scikit-learn can be used. Some examples demonstrate the use of the API in general and some demonstrate specific applications in …

  7. An introduction to machine learning with scikit-learn

    scikit-learn comes with a few standard datasets, for instance the iris and digits datasets for classification and the diabetes dataset for regression. In the following, we start a Python …

  8. 14. External Resources, Videos and Talks - scikit-learn

    The MOOC, created and maintained by some of the scikit-learn core-contributors, is free of charge and is designed to help learners of all levels master machine learning using scikit …

  9. Gaussian Processes regression: basic introductory example - scikit …

    Gaussian Processes regression: basic introductory example # A simple one-dimensional regression example computed in two different ways: A noise-free case A noisy case with …

  10. scikit-learn: machine learning in Python — scikit-learn 1.5.0 …

    scikit-learn: machine learning in Python — scikit-learn 1.5.0 documentation