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  1. Plot the decision boundaries of a VotingClassif...

    Plot the decision boundaries of a VotingClassifier for two features of the Iris dataset. Plot the class probabilities of the first sample in a toy dataset predicted by three different classifiers a...
    scikit-learn.org/stable/auto_examples/ensemble/plot_voting_decision_regions.html
    Thu Nov 21 22:17:10 UTC 2024
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  2. Two-class AdaBoost — scikit-learn 1.5.2 documen...

    This example fits an AdaBoosted decision stump on a non-linearly separable classification dataset composed of two “Gaussian quantiles” clusters (see sklearn.datasets.make_gaussian_quantiles) and pl...
    scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_twoclass.html
    Thu Nov 21 22:17:08 UTC 2024
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  3. Gaussian Process for Machine Learning — scikit-...

    Examples concerning the sklearn.gaussian_process module. Ability of Gaussian process regression (GPR) to estimate data noise-level Comparison of kernel ridge and Gaussian process regression Forecas...
    scikit-learn.org/stable/auto_examples/gaussian_process/index.html
    Thu Nov 21 22:17:09 UTC 2024
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  4. SGD: Weighted samples — scikit-learn 1.5.2 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 0.079 seconds) Launch binder Launch JupyterLite Dow...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_weighted_samples.html
    Thu Nov 21 22:17:10 UTC 2024
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  5. Agglomerative clustering with different metrics...

    Demonstrates the effect of different metrics on the hierarchical clustering. The example is engineered to show the effect of the choice of different metrics. It is applied to waveforms, which can b...
    scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_clustering_metrics.html
    Thu Nov 21 22:17:10 UTC 2024
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  6. A demo of the Spectral Biclustering algorithm —...

    This example demonstrates how to generate a checkerboard dataset and bicluster it using the SpectralBiclustering algorithm. The spectral biclustering algorithm is specifically designed to cluster d...
    scikit-learn.org/stable/auto_examples/bicluster/plot_spectral_biclustering.html
    Thu Nov 21 22:17:09 UTC 2024
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  7. Sparse inverse covariance estimation — scikit-l...

    Using the GraphicalLasso estimator to learn a covariance and sparse precision from a small number of samples. To estimate a probabilistic model (e.g. a Gaussian model), estimating the precision mat...
    scikit-learn.org/stable/auto_examples/covariance/plot_sparse_cov.html
    Thu Nov 21 22:17:08 UTC 2024
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  8. Version 0.23 — scikit-learn 1.7.dev0 documentation

    previously didn’t work as documented – or according to reasonable...follow the Python logging documentation recommendation for libraries...
    scikit-learn.org/dev/whats_new/v0.23.html
    Tue Nov 19 23:37:51 UTC 2024
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  9. Inductive Clustering — scikit-learn 1.5.2 docum...

    text documents Out-of-core classification of text documents Gaussian...
    scikit-learn.org/stable/auto_examples/cluster/plot_inductive_clustering.html
    Thu Nov 21 22:17:09 UTC 2024
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  10. Feature agglomeration — scikit-learn 1.5.2 docu...

    Varoquaux # Modified for documentation by Jaques Grobler # License:...
    scikit-learn.org/stable/auto_examples/cluster/plot_digits_agglomeration.html
    Thu Nov 21 22:17:08 UTC 2024
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