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  1. Examples of Using FrozenEstimator — scikit-lear...

    This example showcases some use cases of FrozenEstimator. FrozenEstimator is a utility class that allows to freeze a fitted estimator. This is useful, for instance, when we want to pass a fitted es...
    scikit-learn.org/stable/auto_examples/frozen/plot_frozen_examples.html
    Tue Mar 17 03:44:36 UTC 2026
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  2. Orthogonal Matching Pursuit — scikit-learn 1.8....

    Using orthogonal matching pursuit for recovering a sparse signal from a noisy measurement encoded with a dictionary Total running time of the script:(0 minutes 0.174 seconds) Launch binder Launch J...
    scikit-learn.org/stable/auto_examples/linear_model/plot_omp.html
    Tue Mar 17 03:44:39 UTC 2026
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  3. SGD: 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. Total running time of the script:(0 minutes 0.063 seconds) Launch binder Launch JupyterLite Dow...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_weighted_samples.html
    Tue Mar 17 03:44:38 UTC 2026
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  4. Caching nearest neighbors — scikit-learn 1.8.0 ...

    This example demonstrates how to precompute the k nearest neighbors before using them in KNeighborsClassifier. KNeighborsClassifier can compute the nearest neighbors internally, but precomputing th...
    scikit-learn.org/stable/auto_examples/neighbors/plot_caching_nearest_neighbors.html
    Tue Mar 17 03:44:38 UTC 2026
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  5. Feature importances with a forest of trees — sc...

    Documentation for RandomForestClassifi...RandomForestClassifi ? Documentation for RandomForestClassifi...
    scikit-learn.org/stable/auto_examples/ensemble/plot_forest_importances.html
    Tue Mar 17 03:44:39 UTC 2026
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  6. Column Transformer with Heterogeneous Data Sour...

    text documents using sparse features Biclustering documents with...examples Classification of text documents using sparse features Classification...
    scikit-learn.org/stable/auto_examples/compose/plot_column_transformer.html
    Tue Mar 17 03:44:38 UTC 2026
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  7. Preprocessing — scikit-learn 1.8.0 documentation

    Examples concerning the sklearn.preprocessing module. Compare the effect of different scalers on data with outliers Comparing Target Encoder with Other Encoders Demonstrating the different strategi...
    scikit-learn.org/stable/auto_examples/preprocessing/index.html
    Tue Mar 17 03:44:38 UTC 2026
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  8. Inspection — scikit-learn 1.8.0 documentation

    Examples related to the sklearn.inspection module. Common pitfalls in the interpretation of coefficients of linear models Failure of Machine Learning to infer causal effects Partial Dependence and ...
    scikit-learn.org/stable/auto_examples/inspection/index.html
    Tue Mar 17 03:44:36 UTC 2026
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  9. GaussianMixture — scikit-learn 1.8.0 documentation

    Gallery examples: Comparing different clustering algorithms on toy datasets Demonstration of k-means assumptions Gaussian Mixture Model Ellipsoids GMM covariances GMM Initialization Methods Density...
    scikit-learn.org/stable/modules/generated/sklearn.mixture.GaussianMixture.html
    Tue Mar 17 03:44:36 UTC 2026
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  10. make_classification — scikit-learn 1.8.0 docume...

    Gallery examples: Probability Calibration curves Comparison of Calibration of Classifiers Classifier comparison OOB Errors for Random Forests Feature transformations with ensembles of trees Feature...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_classification.html
    Tue Mar 17 03:44:39 UTC 2026
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