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  1. Nearest Neighbors Classification — scikit-learn...

    This example shows how to use KNeighborsClassifier. We train such a classifier on the iris dataset and observe the difference of the decision boundary obtained with regards to the parameter weights...
    scikit-learn.org/stable/auto_examples/neighbors/plot_classification.html
    Mon Mar 23 20:39:20 UTC 2026
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  2. Nearest Neighbors regression — scikit-learn 1.8...

    Demonstrate the resolution of a regression problem using a k-Nearest Neighbor and the interpolation of the target using both barycenter and constant weights. Generate sample data: Here we generate ...
    scikit-learn.org/stable/auto_examples/neighbors/plot_regression.html
    Mon Mar 23 20:39:22 UTC 2026
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  3. Underfitting vs. Overfitting — scikit-learn 1.8...

    This example demonstrates the problems of underfitting and overfitting and how we can use linear regression with polynomial features to approximate nonlinear functions. The plot shows the function ...
    scikit-learn.org/stable/auto_examples/model_selection/plot_underfitting_overfitting.html
    Mon Mar 23 20:39:22 UTC 2026
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  4. RBF SVM parameters — scikit-learn 1.8.0 documen...

    This example illustrates the effect of the parameters gamma and C of the Radial Basis Function (RBF) kernel SVM. Intuitively, the gamma parameter defines how far the influence of a single training ...
    scikit-learn.org/stable/auto_examples/svm/plot_rbf_parameters.html
    Mon Mar 23 20:39:20 UTC 2026
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  5. SVM: Weighted samples — scikit-learn 1.8.0 docu...

    Plot decision function of a weighted dataset, where the size of points is proportional to its weight. The sample weighting rescales the C parameter, which means that the classifier puts more emphas...
    scikit-learn.org/stable/auto_examples/svm/plot_weighted_samples.html
    Mon Mar 23 20:39:20 UTC 2026
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  6. Plot classification probability — scikit-learn ...

    This example illustrates the use of sklearn.inspection.DecisionBoundaryDisplay to plot the predicted class probabilities of various classifiers in a 2D feature space, mostly for didactic purposes. ...
    scikit-learn.org/stable/auto_examples/classification/plot_classification_probability.html
    Mon Mar 23 20:39:20 UTC 2026
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  7. Label Propagation circles: Learning a complex s...

    Documentation for LabelSpreading i Fitted...nbviewer.org. LabelSpreading ? Documentation for LabelSpreading i Fitted...
    scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_structure.html
    Mon Mar 23 20:39:20 UTC 2026
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  8. 12.1. Array API support (experimental) — scikit...

    refer to SciPy’s Array API documentation . Some scikit-learn estimators...affect the rest of the documentation. Scikit-learn accepts array-like...
    scikit-learn.org/stable/modules/array_api.html
    Mon Mar 23 20:39:20 UTC 2026
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  9. Release Highlights for scikit-learn 1.7 — sciki...

    Documentation for Pipeline i Not fitted...False StandardScaler ? Documentation for StandardScaler Parameters...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_7_0.html
    Mon Mar 23 20:39:21 UTC 2026
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  10. Release Highlights for scikit-learn 1.0 — sciki...

    reader to go to the API documentation and to check each and every...HistGradientBoosting New documentation improvements # This release...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_0_0.html
    Mon Mar 23 20:39:21 UTC 2026
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