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  1. Common pitfalls in the interpretation of coeffi...

    Non-Null Count Dtype --- ------ ---------- ----- 0 EDUCATION...target . head () 0 5.10 1 4.95 2 6.67 3 4.00 4 7.50 Name: WAGE, dtype:...
    scikit-learn.org/stable/auto_examples/inspection/plot_linear_model_coefficient_interpretation.html
    Mon Aug 04 12:41:04 UTC 2025
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  2. The Johnson-Lindenstrauss bound for embedding w...

    Blues ( np . linspace ( 0.3 , 1.0 , len ( eps_range ))) # range of...= plt . cm . Blues ( np . linspace ( 0.3 , 1.0 , len ( n_samples_range...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_johnson_lindenstrauss_bound.html
    Mon Aug 04 12:41:00 UTC 2025
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  3. MNIST classification using multinomial logistic...

    ( X_test , y_test ) # print('Best C % .4f' % clf.C_) print (...] X = X . reshape (( X . shape [ 0 ], - 1 )) X_train , X_test...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_mnist.html
    Mon Aug 04 12:41:00 UTC 2025
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  4. Clustering text documents using k-means sciki...

    = [ "alt.atheism" , "talk.religion.misc" , "comp.graphics" , "sci.space"..."headers" , "footers" , "quotes" ), subset = "all" , categories...
    scikit-learn.org/stable/auto_examples/text/plot_document_clustering.html
    Mon Aug 04 12:41:04 UTC 2025
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  5. One-class SVM with non-linear kernel (RBF) sc...

    1 , 1 ), yy . reshape ( - 1 , 1 )], axis = 1 ) DecisionBoundaryDisp...linspace ( - 5 , 5 , 10 )) X = np . concatenate ([ xx . reshape ( - 1...
    scikit-learn.org/stable/auto_examples/svm/plot_oneclass.html
    Mon Aug 04 12:41:02 UTC 2025
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  6. Label Propagation digits: Demonstrating perform...

    1 0.82 1.00 0.90 37 2 1.00 0.86 0.92 28 3 1.00 0.80 0.89 35 4...4 0.92 1.00 0.96 24 5 0.74 0.94 0.83 34 6 0.89 0.96 0.92 25 7...
    scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_digits.html
    Mon Aug 04 12:41:04 UTC 2025
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  7. Compare the effect of different scalers on data...

    PowerTransformer ( method = "box-cox" ) . fit_transform ( X ), ), ( "Data...scaling" , MaxAbsScaler () . fit_transform ( X )), ( "Data after robust...
    scikit-learn.org/stable/auto_examples/preprocessing/plot_all_scaling.html
    Mon Aug 04 12:41:00 UTC 2025
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  8. Label Propagation digits: Active learning sci...

    0 0 0 0 23 0 0 0 10] [ 0 1 0 0 0 0 34 0 0 0] [ 0 0 0 0 0 0 0...1.00 22 1 0.79 1.00 0.88 22 2 1.00 0.93 0.96 29 3 1.00 1.00 1.00...
    scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_digits_active_learni...
    Mon Aug 04 12:41:00 UTC 2025
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  9. SVM-Anova: SVM with univariate feature selectio...

    SelectPercentile ( f_classif )), ( "scaler" , StandardScaler ()), ( "svc"...selected" ) plt . xticks ( np . linspace ( 0 , 100 , 11 , endpoint...
    scikit-learn.org/stable/auto_examples/svm/plot_svm_anova.html
    Mon Aug 04 12:41:04 UTC 2025
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  10. Multi-class AdaBoosted Decision Trees scikit-...

    algorithm" ) plt . plot ( [ boosting_errors . index . min (), boosting_errors...X_test ) ], } ) . set_index ( "Number of trees" ) ax = boosting_errors...
    scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_multiclass.html
    Mon Aug 04 12:41:00 UTC 2025
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