Name
..
01_tabular_data_exploration.ipynb
01_tabular_data_exploration_ex_01.ipynb
01_tabular_data_exploration_sol_01.ipynb
02_numerical_pipeline_cross_validation.ipynb
02_numerical_pipeline_ex_00.ipynb
02_numerical_pipeline_ex_01.ipynb
02_numerical_pipeline_hands_on.ipynb
02_numerical_pipeline_introduction.ipynb
02_numerical_pipeline_scaling.ipynb
02_numerical_pipeline_sol_00.ipynb
02_numerical_pipeline_sol_01.ipynb
03_categorical_pipeline.ipynb
03_categorical_pipeline_column_transformer.ipynb
03_categorical_pipeline_ex_01.ipynb
03_categorical_pipeline_ex_02.ipynb
03_categorical_pipeline_sol_01.ipynb
03_categorical_pipeline_sol_02.ipynb
03_categorical_pipeline_visualization.ipynb
cross_validation_baseline.ipynb
cross_validation_ex_01.ipynb
cross_validation_ex_02.ipynb
cross_validation_grouping.ipynb
cross_validation_learning_curve.ipynb
cross_validation_nested.ipynb
cross_validation_sol_01.ipynb
cross_validation_sol_02.ipynb
cross_validation_stratification.ipynb
cross_validation_time.ipynb
cross_validation_train_test.ipynb
cross_validation_validation_curve.ipynb
datasets_adult_census.ipynb
datasets_ames_housing.ipynb
datasets_bike_rides.ipynb
datasets_blood_transfusion.ipynb
datasets_california_housing.ipynb
dev_features_importance.ipynb
ensemble_adaboost.ipynb
ensemble_bagging.ipynb
ensemble_ex_01.ipynb
ensemble_ex_02.ipynb
ensemble_ex_03.ipynb
ensemble_ex_04.ipynb
ensemble_gradient_boosting.ipynb
ensemble_hist_gradient_boosting.ipynb
ensemble_hyperparameters.ipynb
ensemble_introduction.ipynb
ensemble_random_forest.ipynb
ensemble_sol_01.ipynb
ensemble_sol_02.ipynb
ensemble_sol_03.ipynb
ensemble_sol_04.ipynb
feature_selection_ex_01.ipynb
feature_selection_introduction.ipynb
feature_selection_limitation_model.ipynb
feature_selection_sol_01.ipynb
linear_models_ex_01.ipynb
linear_models_ex_02.ipynb
linear_models_ex_03.ipynb
linear_models_ex_04.ipynb
linear_models_feature_engineering_classification.ipynb
linear_models_regularization.ipynb
linear_models_sol_01.ipynb
linear_models_sol_02.ipynb
linear_models_sol_03.ipynb
linear_models_sol_04.ipynb
linear_regression_in_sklearn.ipynb
linear_regression_non_linear_link.ipynb
linear_regression_without_sklearn.ipynb
logistic_regression.ipynb
metrics_classification.ipynb
metrics_ex_01.ipynb
metrics_ex_02.ipynb
metrics_regression.ipynb
metrics_sol_01.ipynb
metrics_sol_02.ipynb
parameter_tuning_ex_02.ipynb
parameter_tuning_ex_03.ipynb
parameter_tuning_grid_search.ipynb
parameter_tuning_manual.ipynb
parameter_tuning_nested.ipynb
parameter_tuning_parallel_plot.ipynb
parameter_tuning_randomized_search.ipynb
parameter_tuning_sol_02.ipynb
parameter_tuning_sol_03.ipynb
trees_classification.ipynb
trees_dataset.ipynb
trees_ex_01.ipynb
trees_ex_02.ipynb
trees_hyperparameters.ipynb
trees_regression.ipynb
trees_sol_01.ipynb
trees_sol_02.ipynb
matplotlibrc