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  1. estimator_html_repr — scikit-learn 1.8.0 ...

    Skip to main content Back to top Ctrl + K GitHub Choose version estimator_html_repr # sklearn.utils. estimator_html_r...
    scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_html_repr.html
    Mon Mar 02 11:09:51 UTC 2026
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  2. ParameterGrid — scikit-learn 1.8.0 docume...

    Skip to main content Back to top Ctrl + K GitHub Choose version ParameterGrid # class sklearn.model_selection. Parame...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.ParameterGrid.html
    Mon Mar 09 14:07:54 UTC 2026
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  3. ParameterSampler — scikit-learn 1.8.0 doc...

    Skip to main content Back to top Ctrl + K GitHub Choose version ParameterSampler # class sklearn.model_selection. Par...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.ParameterSampler.html
    Mon Mar 09 14:07:53 UTC 2026
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  4. KFold — scikit-learn 1.8.0 documentation

    Gallery examples: Feature agglomeration vs. univariate selection Comparing Random Forests and Histogram Gradient Boosting models Gradient Boosting Out-of-Bag estimates Visualizing cross-validation ...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html
    Mon Mar 09 14:07:53 UTC 2026
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  5. label_binarize — scikit-learn 1.8.0 docum...

    Gallery examples: Precision-Recall
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.label_binarize.html
    Mon Mar 09 14:07:53 UTC 2026
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  6. scale — scikit-learn 1.8.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version scale # sklearn.preprocessing. scale ( X , * , axis =...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.scale.html
    Mon Mar 09 14:07:57 UTC 2026
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  7. power_transform — scikit-learn 1.8.0 docu...

    Skip to main content Back to top Ctrl + K GitHub Choose version power_transform # sklearn.preprocessing. power_transf...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.power_transform.html
    Mon Mar 09 14:07:57 UTC 2026
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  8. User Guide — scikit-learn 1.8.0 documentation

    Supervised learning- Linear Models- Ordinary Least Squares, Ridge regression and classification, Lasso, Multi-task Lasso, Elastic-Net, Multi-task Elastic-Net, Least Angle Regression, LARS Lasso, Or...
    scikit-learn.org/stable/user_guide.html
    Tue Mar 17 03:44:36 UTC 2026
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  9. Decision Trees — scikit-learn 1.8.0 documentation

    Examples concerning the sklearn.tree module. Decision Tree Regression Plot the decision surface of decision trees trained on the iris dataset Post pruning decision trees with cost complexity prunin...
    scikit-learn.org/stable/auto_examples/tree/index.html
    Tue Mar 17 03:44:36 UTC 2026
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  10. Dataset examples — scikit-learn 1.8.0 documenta...

    Examples concerning the sklearn.datasets module. Plot randomly generated multilabel dataset
    scikit-learn.org/stable/auto_examples/datasets/index.html
    Tue Mar 17 03:44:39 UTC 2026
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