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  1. Plot multi-class SGD on the iris dataset — scik...

    Plot decision surface of multi-class SGD on iris dataset. The hyperplanes corresponding to the three one-versus-all (OVA) classifiers are represented by the dashed lines. Total running time of the ...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_iris.html
    Fri Oct 10 15:14:36 UTC 2025
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  2. make_sparse_coded_signal — scikit-learn 1.7.2 d...

    Gallery examples: Orthogonal Matching Pursuit
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_coded_signal.html
    Fri Oct 10 15:14:36 UTC 2025
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  3. Release Highlights for scikit-learn 1.4 — sciki...

    Documentation for RandomForestClassifi...None One can access the documentation of the estimator by clicking...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_4_0.html
    Fri Oct 10 15:14:36 UTC 2025
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  4. Forecasting of CO2 level on Mona Loa dataset us...

    Documentation for GaussianProcessRegre...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_co2.html
    Fri Oct 10 15:14:35 UTC 2025
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  5. A demo of K-Means clustering on the handwritten...

    text documents using k-means Clustering text documents using...
    scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_digits.html
    Fri Oct 10 15:14:33 UTC 2025
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  6. randomized_range_finder — scikit-learn 1.7.2 do...

    Skip to main content Back to top Ctrl + K GitHub Choose version randomized_range_finder # sklearn.utils.extmath. rand...
    scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.randomized_range_finder.html
    Thu Oct 09 16:57:48 UTC 2025
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  7. Online learning of a dictionary of parts of fac...

    This example uses a large dataset of faces to learn a set of 20 x 20 images patches that constitute faces. From the programming standpoint, it is interesting because it shows how to use the online ...
    scikit-learn.org/stable/auto_examples/cluster/plot_dict_face_patches.html
    Fri Oct 10 15:14:35 UTC 2025
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  8. Non-negative least squares — scikit-learn 1.7.2...

    In this example, we fit a linear model with positive constraints on the regression coefficients and compare the estimated coefficients to a classic linear regression. Generate some random data Spli...
    scikit-learn.org/stable/auto_examples/linear_model/plot_nnls.html
    Fri Oct 10 15:14:33 UTC 2025
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  9. Segmenting the picture of greek coins in region...

    This example uses Spectral clustering on a graph created from voxel-to-voxel difference on an image to break this image into multiple partly-homogeneous regions. This procedure (spectral clustering...
    scikit-learn.org/stable/auto_examples/cluster/plot_coin_segmentation.html
    Fri Oct 10 15:14:36 UTC 2025
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  10. L1 Penalty and Sparsity in Logistic Regression ...

    Comparison of the sparsity (percentage of zero coefficients) of solutions when L1, L2 and Elastic-Net penalty are used for different values of C. We can see that large values of C give more freedom...
    scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_l1_l2_sparsity.html
    Fri Oct 10 15:14:35 UTC 2025
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