【文件属性】：
文件名称：scikit学习技巧：scikit学习技巧
文件大小：154KB
文件格式：ZIP
更新时间：2021-02-03 08:19:41
python data-science machine-learning scikit-learn data-school
scikit学习技巧：scikit学习技巧
【文件预览】：
scikit-learn-tips-master
----icons()
--------binder.svg(3KB)
--------nb.svg(1008B)
--------in.svg(660B)
--------yt.svg(708B)
----.gitignore(38B)
----README.md(25KB)
----environment.yml(120B)
----notebooks()
--------13_examine_pipeline_steps.ipynb(6KB)
--------27_impute_categorical_features.ipynb(5KB)
--------26_stratified_train_test_split.ipynb(5KB)
--------33_function_transformer.ipynb(6KB)
--------30_examine_pipeline_steps.ipynb(4KB)
--------02_select_columns.ipynb(6KB)
--------07_handle_unknown_categories.ipynb(6KB)
--------40_print_changed_only.ipynb(4KB)
--------46_ensembling.ipynb(3KB)
--------01_column_transformer.ipynb(6KB)
--------38_get_feature_names.ipynb(3KB)
--------21_plot_roc_curve.ipynb(32KB)
--------25_decision_tree_pruning.ipynb(4KB)
--------09_add_missing_indicator.ipynb(5KB)
--------44_parallel_processing.ipynb(25KB)
--------45_feature_interactions.ipynb(4KB)
--------48_pipeline_slicing.ipynb(14KB)
--------47_ensemble_tuning.ipynb(4KB)
--------49_tune_multiple_models.ipynb(5KB)
--------14_handle_missing_values.ipynb(5KB)
--------17_randomized_search.ipynb(5KB)
--------31_kfold_shuffle.ipynb(4KB)
--------42_passthrough_or_drop.ipynb(6KB)
--------41_drop_if_binary.ipynb(5KB)
--------10_random_state.ipynb(10KB)
--------29_vectorize_two_columns.ipynb(3KB)
--------32_multiclass_auc.ipynb(4KB)
--------36_keyword_arguments.ipynb(2KB)
--------06_encode_categorical_features.ipynb(5KB)
--------16_pipeline_cross_validation.ipynb(5KB)
--------50_simple_ml_pattern.ipynb(5KB)
--------12_pipeline_vs_make_pipeline.ipynb(4KB)
--------23_linear_model_coefficients.ipynb(4KB)
--------11_new_imputers.ipynb(6KB)
--------20_plot_confusion_matrix.ipynb(12KB)
--------35_pass_pandas_object.ipynb(3KB)
--------43_ordinal_encoding_for_trees.ipynb(5KB)
--------28_joblib.ipynb(4KB)
--------37_pipeline_diagram.ipynb(16KB)
--------34_feature_selection.ipynb(4KB)
--------24_decision_tree_visualization.ipynb(57KB)
--------18_hyperparameter_search_results.ipynb(7KB)
--------39_toy_dataset.ipynb(7KB)
--------08_pipeline.ipynb(7KB)