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  1. sklearn.neural_network — scikit-learn 1.7.2 doc...

    Models based on neural networks. User guide. See the Neural network models (supervised) and Neural network models (unsupervised) sections for further details.
    scikit-learn.org/stable/api/sklearn.neural_network.html
    Mon Sep 08 19:15:59 UTC 2025
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  2. sklearn.feature_selection — scikit-learn 1.7.2 ...

    Feature selection algorithms. These include univariate filter selection methods and the recursive feature elimination algorithm. User guide. See the Feature selection section for further details.
    scikit-learn.org/stable/api/sklearn.feature_selection.html
    Mon Sep 08 19:15:59 UTC 2025
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  3. l1_min_c — scikit-learn 1.7.2 documentation

    Gallery examples: Regularization path of L1- Logistic Regression
    scikit-learn.org/stable/modules/generated/sklearn.svm.l1_min_c.html
    Mon Sep 08 19:16:00 UTC 2025
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  4. get_data_home — scikit-learn 1.7.2 documentation

    Gallery examples: Out-of-core classification of text documents
    scikit-learn.org/stable/modules/generated/sklearn.datasets.get_data_home.html
    Mon Sep 08 19:15:59 UTC 2025
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  5. make_s_curve — scikit-learn 1.7.2 documentation

    Gallery examples: Comparison of Manifold Learning methods t-SNE: The effect of various perplexity values on the shape
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_s_curve.html
    Mon Sep 08 19:16:00 UTC 2025
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  6. fetch_lfw_people — scikit-learn 1.7.2 documenta...

    Gallery examples: Faces recognition example using eigenfaces and SVMs
    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_lfw_people.html
    Mon Sep 08 19:15:59 UTC 2025
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  7. make_column_transformer — scikit-learn 1.7.2 do...

    Gallery examples: Categorical Feature Support in Gradient Boosting Combine predictors using stacking Common pitfalls in the interpretation of coefficients of linear models Displaying estimators and...
    scikit-learn.org/stable/modules/generated/sklearn.compose.make_column_transformer.html
    Mon Sep 08 19:15:58 UTC 2025
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  8. enable_iterative_imputer — scikit-learn 1.7.2 d...

    Enables IterativeImputer The API and results of this estimator might change without any deprecation cycle. Importing this file dynamically sets IterativeImputer as an attribute of the impute module:
    scikit-learn.org/stable/modules/generated/sklearn.experimental.enable_iterative_imputer.html
    Mon Sep 08 19:16:00 UTC 2025
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  9. mutual_info_score — scikit-learn 1.7.2 document...

    Gallery examples: Adjustment for chance in clustering performance evaluation
    scikit-learn.org/stable/modules/generated/sklearn.metrics.mutual_info_score.html
    Mon Sep 08 19:16:00 UTC 2025
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  10. precision_recall_curve — scikit-learn 1.7.2 doc...

    Gallery examples: Visualizations with Display Objects Precision-Recall
    scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_curve.html
    Mon Sep 08 19:16:00 UTC 2025
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