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  1. About us — scikit-learn 1.8.0 documentation

    History: This project was started in 2007 as a Google Summer of Code project by David Cournapeau. Later that year, Matthieu Brucher started working on this project as part of his thesis. In 2010 Fa...
    scikit-learn.org/stable/about.html
    Mon Dec 15 15:02:31 GMT 2025
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  2. sklearn.svm — scikit-learn 1.8.0 document...

    Support vector machine algorithms. User guide. See the Support Vector Machines section for further details.
    scikit-learn.org/stable/api/sklearn.svm.html
    Mon Dec 15 15:02:30 GMT 2025
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  3. Manifold learning — scikit-learn 1.8.0 do...

    Examples concerning the sklearn.manifold module. Comparison of Manifold Learning methods Manifold Learning methods on a severed sphere Manifold learning on handwritten digits: Locally Linear Embedd...
    scikit-learn.org/stable/auto_examples/manifold/index.html
    Mon Dec 15 15:02:30 GMT 2025
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  4. sklearn.multiclass — scikit-learn 1.8.0 d...

    Multiclass learning algorithms. one-vs-the-rest / one-vs-all, one-vs-one, error correcting output codes. The estimators provided in this module are meta-estimators: they require a base estimator to...
    scikit-learn.org/stable/api/sklearn.multiclass.html
    Mon Dec 15 15:02:33 GMT 2025
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  5. Neural Networks — scikit-learn 1.8.0 docu...

    Examples concerning the sklearn.neural_network module. Compare Stochastic learning strategies for MLPClassifier Restricted Boltzmann Machine features for digit classification Varying regularization...
    scikit-learn.org/stable/auto_examples/neural_networks/index.html
    Mon Dec 15 15:02:30 GMT 2025
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  6. sklearn.tree — scikit-learn 1.8.0 documen...

    Decision tree based models for classification and regression. User guide. See the Decision Trees section for further details. Exporting: Plotting:
    scikit-learn.org/stable/api/sklearn.tree.html
    Mon Dec 15 15:02:33 GMT 2025
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  7. sklearn.kernel_approximation — scikit-lea...

    Approximate kernel feature maps based on Fourier transforms and count sketches. User guide. See the Kernel Approximation section for further details.
    scikit-learn.org/stable/api/sklearn.kernel_approximation.html
    Mon Dec 15 15:02:30 GMT 2025
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  8. sklearn.neighbors — scikit-learn 1.8.0 do...

    The k-nearest neighbors algorithms. User guide. See the Nearest Neighbors section for further details.
    scikit-learn.org/stable/api/sklearn.neighbors.html
    Mon Dec 15 15:02:30 GMT 2025
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  9. sklearn.frozen — scikit-learn 1.8.0 docum...

    Skip to main content Back to top Ctrl + K GitHub Choose version sklearn.frozen # FrozenEstimator Estimator that wraps...
    scikit-learn.org/stable/api/sklearn.frozen.html
    Mon Dec 15 15:02:33 GMT 2025
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  10. sklearn.mixture — scikit-learn 1.8.0 docu...

    Mixture modeling algorithms. User guide. See the Gaussian mixture models section for further details.
    scikit-learn.org/stable/api/sklearn.mixture.html
    Mon Dec 15 15:02:30 GMT 2025
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