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  1. SparseRandomProjection — scikit-learn 1.8...

    Gallery examples: Manifold learning on handwritten digits: Locally Linear Embedding, Isomap… The Johnson-Lindenstrauss bound for embedding with random projections
    scikit-learn.org/stable/modules/generated/sklearn.random_projection.SparseRandomProjection.html
    Mon Mar 09 14:07:54 UTC 2026
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  2. robust_scale — scikit-learn 1.8.0 documen...

    Skip to main content Back to top Ctrl + K GitHub Choose version robust_scale # sklearn.preprocessing. robust_scale ( ...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.robust_scale.html
    Mon Mar 09 16:03:58 UTC 2026
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  3. shuffle — scikit-learn 1.8.0 documentation

    Gallery examples: Prediction Latency Empirical evaluation of the impact of k-means initialization Combine predictors using stacking Early stopping of Stochastic Gradient Descent Approximate nearest...
    scikit-learn.org/stable/modules/generated/sklearn.utils.shuffle.html
    Mon Mar 09 16:03:58 UTC 2026
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  4. Neural Networks — scikit-learn 1.8.0 documentation

    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
    Tue Mar 17 03:44:38 UTC 2026
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  5. 6. Visualizations — scikit-learn 1.8.0 document...

    Scikit-learn defines a simple API for creating visualizations for machine learning. The key feature of this API is to allow for quick plotting and visual adjustments without recalculation. We provi...
    scikit-learn.org/stable/visualizations.html
    Tue Mar 17 03:44:36 UTC 2026
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  6. Feature agglomeration — scikit-learn 1.8.0 docu...

    These images show how similar features are merged together using feature agglomeration. Total running time of the script:(0 minutes 0.107 seconds) Launch binder Launch JupyterLite Download Jupyter ...
    scikit-learn.org/stable/auto_examples/cluster/plot_digits_agglomeration.html
    Tue Mar 17 03:44:39 UTC 2026
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  7. Manifold learning — scikit-learn 1.8.0 document...

    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
    Tue Mar 17 03:44:39 UTC 2026
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  8. sklearn.neighbors — scikit-learn 1.8.0 document...

    The k-nearest neighbors algorithms. User guide. See the Nearest Neighbors section for further details.
    scikit-learn.org/stable/api/sklearn.neighbors.html
    Tue Mar 17 03:44:36 UTC 2026
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  9. sklearn.utils — scikit-learn 1.8.0 documentation

    Various utilities to help with development. Developer guide. See the Utilities for Developers section for further details. Input and parameter validation: Functions to validate input and parameters...
    scikit-learn.org/stable/api/sklearn.utils.html
    Tue Mar 17 03:44:39 UTC 2026
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  10. sklearn.tree — scikit-learn 1.8.0 documentation

    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
    Tue Mar 17 03:44:39 UTC 2026
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