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notebooks.json
{
"baseUrl": "https://github.com/INRIA/scikit-learn-mooc/raw/main/",
"notebooks": [
"notebooks/01_tabular_data_exploration.ipynb",
"notebooks/01_tabular_data_exploration_ex_01.ipynb",
"notebooks/02_numerical_pipeline_cross_validation.ipynb",
"notebooks/02_numerical_pipeline_ex_00.ipynb",
"notebooks/02_numerical_pipeline_ex_01.ipynb",
"notebooks/02_numerical_pipeline_hands_on.ipynb",
"notebooks/02_numerical_pipeline_introduction.ipynb",
"notebooks/02_numerical_pipeline_scaling.ipynb",
"notebooks/03_categorical_pipeline.ipynb",
"notebooks/03_categorical_pipeline_column_transformer.ipynb",
"notebooks/03_categorical_pipeline_ex_01.ipynb",
"notebooks/03_categorical_pipeline_ex_02.ipynb",
"notebooks/cross_validation_baseline.ipynb",
"notebooks/cross_validation_ex_01.ipynb",
"notebooks/cross_validation_ex_02.ipynb",
"notebooks/cross_validation_ex_03.ipynb",
"notebooks/cross_validation_ex_04.ipynb",
"notebooks/cross_validation_ex_05.ipynb",
"notebooks/cross_validation_grouping.ipynb",
"notebooks/cross_validation_learning_curve.ipynb",
"notebooks/cross_validation_nested.ipynb",
"notebooks/cross_validation_stratification.ipynb",
"notebooks/cross_validation_time.ipynb",
"notebooks/cross_validation_train_test.ipynb",
"notebooks/cross_validation_validation_curve.ipynb",
"notebooks/datasets_ames_housing.ipynb",
"notebooks/datasets_bike_rides.ipynb",
"notebooks/datasets_blood_transfusion.ipynb",
"notebooks/datasets_california_housing.ipynb",
"notebooks/dev_features_importance.ipynb",
"notebooks/ensemble_adaboost.ipynb",
"notebooks/ensemble_bagging.ipynb",
"notebooks/ensemble_ex_01.ipynb",
"notebooks/ensemble_ex_02.ipynb",
"notebooks/ensemble_ex_03.ipynb",
"notebooks/ensemble_ex_04.ipynb",
"notebooks/ensemble_ex_05.ipynb",
"notebooks/ensemble_gradient_boosting.ipynb",
"notebooks/ensemble_hist_gradient_boosting.ipynb",
"notebooks/ensemble_hyperparameters.ipynb",
"notebooks/ensemble_introduction.ipynb",
"notebooks/ensemble_random_forest.ipynb",
"notebooks/feature_selection_ex_01.ipynb",
"notebooks/feature_selection_introduction.ipynb",
"notebooks/feature_selection_limitation_model.ipynb",
"notebooks/helpers/__init__.py",
"notebooks/helpers/plotting.py",
"notebooks/linear_models_ex_01.ipynb",
"notebooks/linear_models_ex_02.ipynb",
"notebooks/linear_models_ex_03.ipynb",
"notebooks/linear_models_ex_04.ipynb",
"notebooks/linear_models_ex_05.ipynb",
"notebooks/linear_models_regularization.ipynb",
"notebooks/linear_regression_in_sklearn.ipynb",
"notebooks/linear_regression_non_linear_link.ipynb",
"notebooks/linear_regression_without_sklearn.ipynb",
"notebooks/logistic_regression.ipynb",
"notebooks/logistic_regression_non_linear.ipynb",
"notebooks/matplotlibrc",
"notebooks/metrics_classification.ipynb",
"notebooks/metrics_ex_01.ipynb",
"notebooks/metrics_ex_02.ipynb",
"notebooks/metrics_regression.ipynb",
"notebooks/parameter_tuning_ex_02.ipynb",
"notebooks/parameter_tuning_ex_03.ipynb",
"notebooks/parameter_tuning_grid_search.ipynb",
"notebooks/parameter_tuning_manual.ipynb",
"notebooks/parameter_tuning_nested.ipynb",
"notebooks/parameter_tuning_parallel_plot.ipynb",
"notebooks/parameter_tuning_randomized_search.ipynb",
"notebooks/trees_classification.ipynb",
"notebooks/trees_dataset.ipynb",
"notebooks/trees_ex_01.ipynb",
"notebooks/trees_ex_02.ipynb",
"notebooks/trees_hyperparameters.ipynb",
"notebooks/trees_regression.ipynb",
"notebooks/video_pipeline.ipynb"
],
"datasets": [
"datasets/README.md",
"datasets/adult-census-numeric-all.csv",
"datasets/adult-census-numeric-test.csv",
"datasets/adult-census-numeric.csv",
"datasets/adult-census.csv",
"datasets/ames_housing_no_missing.csv",
"datasets/bike_rides.csv",
"datasets/blood_transfusion.csv",
"datasets/cps_85_wages.csv",
"datasets/financial-data",
"datasets/house_prices.csv",
"datasets/penguins.csv",
"datasets/penguins_classification.csv",
"datasets/penguins_regression.csv"
],
"wrapups": [
"evaluation/ensemble_questions.ipynb",
"evaluation/linear_models_questions.ipynb",
"evaluation/trees_questions.ipynb",
"evaluation/predictive_modeling_pipeline_questions.ipynb",
"evaluation/overfit_questions.ipynb",
"evaluation/tuning_questions.ipynb",
"evaluation/evaluation_questions.ipynb",
"evaluation/sandbox_notebook.ipynb"
],
"figures": [
"figures/README.md",
"figures/api_diagram-columntransformer.svg",
"figures/api_diagram-pipeline.fit.svg",
"figures/api_diagram-pipeline.predict.svg",
"figures/api_diagram-predictor.fit.svg",
"figures/api_diagram-predictor.predict.svg",
"figures/api_diagram-predictor.score.svg",
"figures/api_diagram-transformer.fit.svg",
"figures/api_diagram-transformer.fit_transform.svg",
"figures/api_diagram-transformer.transform.svg",
"figures/api_diagram.drawio",
"figures/bagging.svg",
"figures/bagging0.svg",
"figures/bagging0_cross.svg",
"figures/bagging_cross.svg",
"figures/bagging_fit.svg",
"figures/bagging_line.svg",
"figures/bagging_overfit.svg",
"figures/bagging_reg_blue.svg",
"figures/bagging_reg_blue_grey.svg",
"figures/bagging_reg_data.svg",
"figures/bagging_reg_grey.svg",
"figures/bagging_reg_grey_fitted.svg",
"figures/bagging_trees.svg",
"figures/bagging_trees_predict.svg",
"figures/bagging_underfit.svg",
"figures/bagging_vote.svg",
"figures/boosting",
"figures/boosting0.svg",
"figures/boosting0_cross.svg",
"figures/boosting1.svg",
"figures/boosting2.svg",
"figures/boosting3.svg",
"figures/boosting_reg_blue.svg",
"figures/boosting_reg_data.svg",
"figures/boosting_reg_grey.svg",
"figures/boosting_trees1.svg",
"figures/boosting_trees2.svg",
"figures/boosting_trees3.svg",
"figures/bossting_reg_blue.svg",
"figures/categorical.svg",
"figures/cross-val1-shuffle.svg",
"figures/cross-val1.svg",
"figures/cross-val2-shuffle.svg",
"figures/cross-val2.svg",
"figures/cross-val3-shuffle.svg",
"figures/cross-val3.svg",
"figures/cross-val4-shuffle.svg",
"figures/cross-val4.svg",
"figures/cross-val5-shuffle.svg",
"figures/cross-val5.svg",
"figures/cross_validation_diagram.png",
"figures/cross_validation_train_test_diagram.png",
"figures/different_models_complex_16.svg",
"figures/different_models_complex_4.svg",
"figures/dt_fit.svg",
"figures/dt_overfit.svg",
"figures/dt_underfit.svg",
"figures/evaluation_quiz_precision_recall_C0.003.svg",
"figures/evaluation_quiz_precision_recall_C1.svg",
"figures/full_data.svg",
"figures/grid_vs_random_search.svg",
"figures/iris-silhouette.svg",
"figures/iris-silhouette_gray.svg",
"figures/iris_petal_length_cm_hist.svg",
"figures/iris_petal_width_cm_hist.svg",
"figures/iris_sepal_length_cm_hist.svg",
"figures/iris_sepal_width_cm_hist.svg",
"figures/legend_irises.svg",
"figures/lin_not_separable.svg",
"figures/lin_reg_2_points.svg",
"figures/lin_reg_2_points_best_ridge.svg",
"figures/lin_reg_2_points_best_ridge_grey.svg",
"figures/lin_reg_2_points_no_penalty.svg",
"figures/lin_reg_2_points_no_penalty_grey.svg",
"figures/lin_reg_2_points_ridge.svg",
"figures/lin_reg_2_points_ridge_grey.svg",
"figures/lin_reg_3D.svg",
"figures/lin_separable.svg",
"figures/linear_data.svg",
"figures/linear_fit.svg",
"figures/linear_fit_red.svg",
"figures/linear_ols.svg",
"figures/linear_ols_test.svg",
"figures/linear_splines.svg",
"figures/linear_splines_test.svg",
"figures/linreg_noreg_0.svg",
"figures/linreg_noreg_0_nogrey.svg",
"figures/linreg_noreg_1.svg",
"figures/linreg_noreg_2.svg",
"figures/linreg_noreg_3.svg",
"figures/linreg_noreg_4.svg",
"figures/linreg_noreg_5.svg",
"figures/logistic_2D.svg",
"figures/logistic_2D_C0.001.svg",
"figures/logistic_2D_C1.svg",
"figures/logistic_3D.svg",
"figures/logistic_color.svg",
"figures/mooc_computer.jpg",
"figures/multinomial.svg",
"figures/nested_cross_validation_diagram.png",
"figures/numerical_pipeline_quiz_scaler.py",
"figures/numerical_pipeline_quiz_scaler_original.png",
"figures/numerical_pipeline_quiz_scaler_preprocessing.png",
"figures/ols_simple.svg",
"figures/ols_simple_test.svg",
"figures/ols_test.svg",
"figures/people.svg",
"figures/plot_cross_validation_diagram.py",
"figures/plot_iris_visualization.py",
"figures/plot_overfit_underfit.py",
"figures/plot_parameter_tuning_cv.py",
"figures/plot_precision_recall_visualization.py",
"figures/plot_simple_decision_tree_adult_census.py",
"figures/plot_slide_linear.py",
"figures/plot_splines.py",
"figures/plot_trees.py",
"figures/polynomial_learning_curve_1179.svg",
"figures/polynomial_learning_curve_145.svg",
"figures/polynomial_learning_curve_42.svg",
"figures/polynomial_learning_curve_6766.svg",
"figures/polynomial_overfit.svg",
"figures/polynomial_overfit_0.svg",
"figures/polynomial_overfit_1.svg",
"figures/polynomial_overfit_2.svg",
"figures/polynomial_overfit_5.svg",
"figures/polynomial_overfit_9.svg",
"figures/polynomial_overfit_assymptotic.svg",
"figures/polynomial_overfit_ntrain_1179.svg",
"figures/polynomial_overfit_ntrain_145.svg",
"figures/polynomial_overfit_ntrain_42.svg",
"figures/polynomial_overfit_ntrain_6766.svg",
"figures/polynomial_overfit_resample_0.svg",
"figures/polynomial_overfit_resample_1.svg",
"figures/polynomial_overfit_resample_2.svg",
"figures/polynomial_overfit_resample_all.svg",
"figures/polynomial_overfit_simple.svg",
"figures/polynomial_overfit_simple_legend.svg",
"figures/polynomial_overfit_test_1.svg",
"figures/polynomial_overfit_test_2.svg",
"figures/polynomial_overfit_test_5.svg",
"figures/polynomial_overfit_test_9.svg",
"figures/polynomial_overfit_truth.svg",
"figures/polynomial_underfit_resample_0.svg",
"figures/polynomial_underfit_resample_1.svg",
"figures/polynomial_underfit_resample_2.svg",
"figures/polynomial_underfit_resample_all.svg",
"figures/polynomial_underfit_simple.svg",
"figures/polynomial_validation_curve.svg",
"figures/polynomial_validation_curve_1.svg",
"figures/polynomial_validation_curve_15.svg",
"figures/polynomial_validation_curve_2.svg",
"figures/polynomial_validation_curve_5.svg",
"figures/polynomial_validation_curve_9.svg",
"figures/randomized_search_results.csv",
"figures/randomized_search_results_logistic_regression.csv",
"figures/ridge_0_withreg.svg",
"figures/ridge_alpha_0.svg",
"figures/ridge_alpha_50.0.svg",
"figures/ridge_alpha_50.svg",
"figures/ridge_alpha_500.0.svg",
"figures/ridge_alpha_500.svg",
"figures/ridge_alpha_None.svg",
"figures/scikit-learn-logo.svg",
"figures/shufflesplit_1.svg",
"figures/shufflesplit_2.svg",
"figures/shufflesplit_3.svg",
"figures/shufflesplit_diagram.png",
"figures/simple_decision_tree_adult_census.png",
"figures/splines_cubic.svg",
"figures/splines_cubic_test.svg",
"figures/splines_test.svg",
"figures/style_figs.py",
"figures/supervised.png",
"figures/target_bias.svg",
"figures/target_bias_0.svg",
"figures/target_bias_1.svg",
"figures/target_bias_2.svg",
"figures/target_variance.svg",
"figures/target_variance_0.svg",
"figures/target_variance_1.svg",
"figures/target_variance_2.svg",
"figures/test_scores_h_shuffle=false.svg",
"figures/tree2D_1split.svg",
"figures/tree2D_2split.svg",
"figures/tree2D_3split.svg",
"figures/tree_blue_orange1.svg",
"figures/tree_blue_orange2.svg",
"figures/tree_blue_orange3.svg",
"figures/tree_example.svg",
"figures/tree_regression1.svg",
"figures/tree_regression2.svg",
"figures/tree_regression3.svg",
"figures/tree_regression4.svg",
"figures/tree_regression_structure1.svg",
"figures/tree_regression_structure2.svg",
"figures/tree_regression_structure3.svg",
"figures/unsupervised.png",
"figures/workflow.png"
]
}
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