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  1. mean_squared_log_error — scikit-learn 1.7.2 doc...

    2 ], [ 7 , 6 ]] >>> y_pred = [[ 0.5 , 2 ], [ 1 , 2.5 ],...y_true = [ 3 , 5 , 2.5 , 7 ] >>> y_pred = [ 2.5 , 5 , 4 , 8 ] >>>...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_squared_log_error.html
    Mon Nov 03 14:20:05 UTC 2025
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  2. Effect of transforming the targets in regressio...

    subplots ( 2 , 2 , sharey = "row" , figsize =...ax1 ) = plt . subplots ( 1 , 2 ) ax0 . hist ( y , bins = 100...
    scikit-learn.org/stable/auto_examples/compose/plot_transformed_target.html
    Mon Nov 03 14:20:04 UTC 2025
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  3. SGD: Maximum margin separating hyperplane — sci...

    centers = 2 , random_state = 0 , cluster_std...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_separating_hyperplane.html
    Mon Nov 03 14:20:03 UTC 2025
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  4. maxabs_scale — scikit-learn 1.7.2 documentation

    maxabs_scale >>> X = [[ - 2 , 1 , 2 ], [ - 1 , 0 , 1 ]] >>> maxabs_scale...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.maxabs_scale.html
    Mon Nov 03 14:20:05 UTC 2025
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  5. Demo of HDBSCAN clustering algorithm — scikit-l...

    2 , 0.35 , 1.35 , 1.35 ], random_state...fig , axes = plt . subplots ( 2 , 1 , figsize = ( 10 , 8 )) params...
    scikit-learn.org/stable/auto_examples/cluster/plot_hdbscan.html
    Mon Nov 03 14:20:05 UTC 2025
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  6. Recognizing hand-written digits — scikit-learn ...

    turning each 2-D array of grayscale values from...0.99 0.99 88 1 0.99 0.97 0.98 91 2 0.99 0.99 0.99 86 3 0.98 0.87...
    scikit-learn.org/stable/auto_examples/classification/plot_digits_classification.html
    Mon Nov 03 14:20:04 UTC 2025
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  7. Comparing different hierarchical linkage method...

    xlim ( - 2.5 , 2.5 ) plt . ylim ( - 2.5 , 2.5 ) plt . xticks..."n_clusters" : 2 }), ( noisy_moons , { "n_clusters" : 2 }), ( varied...
    scikit-learn.org/stable/auto_examples/cluster/plot_linkage_comparison.html
    Mon Nov 03 14:20:05 UTC 2025
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  8. ridge_regression — scikit-learn 1.7.2 documenta...

    2: Default value changed from 1e-3...rng . randn ( 100 , 4 ) >>> y = 2.0 * X [:, 0 ] - 1.0 * X [:, 1...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.ridge_regression.html
    Mon Nov 03 14:20:05 UTC 2025
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  9. Factor Analysis (with rotation) to visualize pa...

    2 , 3 ]) ax . set_xticklabels (...) ax . set_yticks ([ 0 , 1 , 2 , 3 ]) ax . set_yticklabels (...
    scikit-learn.org/stable/auto_examples/decomposition/plot_varimax_fa.html
    Mon Nov 03 14:20:03 UTC 2025
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  10. Various Agglomerative Clustering on a 2D embedd...

    SpectralEmbedding ( n_components = 2 ) . fit_transform ( X ) print...
    scikit-learn.org/stable/auto_examples/cluster/plot_digits_linkage.html
    Mon Nov 03 14:20:05 UTC 2025
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