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  1. Installing scikit-learn — scikit-learn 1.7.2 do...

    Scikit-learn 1.0 supported Python 3.7—3.10. Scikit-learn 1.1, 1.2 and...and 1.3 supported Python 3.8—3.12. Scikit-learn 1.4 and 1.5 supported...
    scikit-learn.org/stable/install.html
    Wed Sep 17 19:57:58 UTC 2025
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  2. export_graphviz — scikit-learn 1.7.2 documentation

    “x[1]”, …). class_names array-like...
    scikit-learn.org/stable/modules/generated/sklearn.tree.export_graphviz.html
    Mon Sep 15 09:31:45 UTC 2025
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  3. graphical_lasso — scikit-learn 1.7.2 documentation

    05 ) >>> emp_cov array([[ 1.687, 0.212, -0.209], [ 0.212,...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.graphical_lasso.html
    Wed Sep 17 19:58:00 UTC 2025
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  4. The Johnson-Lindenstrauss bound for embedding w...

    by: \[(1 - eps) \|u - v\|^2 < \|p(u) - p(v)\|^2 < (1 + eps) \|u...matrix with size: 1.301 MB Mean distances rate: 1.02 (0.17) Projected...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_johnson_lindenstrauss_bound.html
    Wed Sep 17 19:57:59 UTC 2025
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  5. Agglomerative clustering with different metrics...

    1 , 1 ]) for l , color , n in zip...figure () plt . axes ([ 0 , 0 , 1 , 1 ]) for l , color in zip ( np...
    scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_clustering_metrics.html
    Wed Sep 17 19:57:58 UTC 2025
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  6. Demo of OPTICS clustering algorithm — scikit-le...

    subplot ( G [ 1 , 0 ]) ax3 = plt . subplot ( G [ 1 , 1 ]) ax4 = plt...labels_ == - 1 , 0 ], X [ clust . labels_ == - 1 , 1 ], "k+" , alpha...
    scikit-learn.org/stable/auto_examples/cluster/plot_optics.html
    Wed Sep 17 19:57:59 UTC 2025
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  7. Hierarchical clustering: structured vs unstruct...

    1 ] *= 0.5 Compute clustering #...set_position ([ 0 , 0 , 0.95 , 1 ]) for l in np . unique ( label...
    scikit-learn.org/stable/auto_examples/cluster/plot_ward_structured_vs_unstructured.html
    Wed Sep 17 19:58:00 UTC 2025
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  8. Tweedie regression on insurance claims — scikit...

    tweedie_powers = [ 1.5 , 1.7 , 1.8 , 1.9 , 1.99 , 1.999 , 1.9999 ] scores_product_model...dev p=1.9990 1.914574e+03 1.914370e+03 1.914537e+03 1.914388e+03...
    scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html
    Wed Sep 17 19:57:59 UTC 2025
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  9. Understanding the decision tree structure — sci...

    node=1 is a leaf node with value=[[1. 0. 0.]]. node=2...min_samples_split 2 min_samples_leaf 1 min_weight_fraction_leaf 0.0 max_features...
    scikit-learn.org/stable/auto_examples/tree/plot_unveil_tree_structure.html
    Wed Sep 17 19:57:58 UTC 2025
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  10. Evaluation of outlier detection estimators — sc...

    in pandas 1.5.1 were mapped to np.nan in pandas 2.0.1 X [ "Misc_Feature"...n_neighbors_list ) - 1 ), chance_level_kw = { "linestyle" : ( 0 , ( 1 , 10 ))},...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_outlier_detection_bench.html
    Wed Sep 17 19:57:59 UTC 2025
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