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  1. Decision Tree Regression with AdaBoost — scikit...

    A decision tree is boosted using the AdaBoost.R2 1 algorithm on a 1D sinusoidal dataset with a small amount of Gaussian noise. 299 boosts (300 decision trees) is compared with a single decision tre...
    scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_regression.html
    Sat Apr 19 00:31:22 UTC 2025
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  2. Gaussian Mixture Model Ellipsoids — scikit-lear...

    Plot the confidence ellipsoids of a mixture of two Gaussians obtained with Expectation Maximisation ( GaussianMixture class) and Variational Inference ( BayesianGaussianMixture class models with a ...
    scikit-learn.org/stable/auto_examples/mixture/plot_gmm.html
    Sat Apr 19 00:31:22 UTC 2025
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  3. 6. Dataset transformations — scikit-learn 1.6.1...

    scikit-learn provides a library of transformers, which may clean (see Preprocessing data), reduce (see Unsupervised dimensionality reduction), expand (see Kernel Approximation) or generate (see Fea...
    scikit-learn.org/stable/data_transforms.html
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  4. img_to_graph — scikit-learn 1.6.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version img_to_graph # sklearn.feature_extraction.image. img_...
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.img_to_graph.html
    Sat Apr 19 00:31:20 UTC 2025
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  5. Version 0.24 — scikit-learn 1.6.1 documentation

    previously didn’t work as documented – or according to reasonable...by Nathan C. . Code and documentation contributors Thanks to everyone...
    scikit-learn.org/stable/whats_new/v0.24.html
    Sat Apr 19 00:31:22 UTC 2025
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  6. Post-hoc tuning the cut-off point of decision f...

    Documentation for Pipeline i Not fitted...LogisticRegression())]) StandardScaler ? Documentation for StandardScaler StandardScaler()...
    scikit-learn.org/stable/auto_examples/model_selection/plot_tuned_decision_threshold.html
    Sat Apr 19 00:31:21 UTC 2025
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  7. Demonstration of k-means assumptions — scikit-l...

    the example Clustering text documents using k-means ). In the case...
    scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_assumptions.html
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  8. 3.4. Metrics and scoring: quantifying the quali...

    estimator can be found in its documentation. Scoring parameter : Model-evaluation...See Classification of text documents using sparse features for...
    scikit-learn.org/stable/modules/model_evaluation.html
    Mon Apr 21 17:07:39 UTC 2025
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  9. Release Highlights for scikit-learn 1.2 — sciki...

    Documentation for HistGradientBoosting...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_2_0.html
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  10. Fitting an Elastic Net with a precomputed Gram ...

    see the documentation for the sample_weight parameter...nbviewer.org. ElasticNet ? Documentation for ElasticNet i Fitted...
    scikit-learn.org/stable/auto_examples/linear_model/plot_elastic_net_precomputed_gram_matrix_with_...
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