PacktPub - Data Cleansing Master Class in Python -移花宫-武林禁地，闲人禁止入内

磁力链接/BT种子名称

PacktPub - Data Cleansing Master Class in Python

磁力链接/BT种子简介

种子哈希：542c9944d3404a8babbf129a40e4e0982d996f97
文件大小： 5.91G
已经下载：2766次
下载速度：极快
收录时间：2022-01-19
最近下载：2025-08-31

移花宫入口

移花宫.com 邀月.com 怜星.com 花无缺.com yhgbt.icu yhgbt.top

磁力链接下载

magnet:?xt=urn:btih:542C9944D3404A8BABBF129A40E4E0982D996F97
推荐使用PIKPAK网盘下载资源，10TB超大空间，不限制资源，无限次数离线下载，视频在线观看

文件列表

Section 5/05.08-nominal_and_ordinal_variables.mkv 316.3 MB
Section 2/02.01-introducing_data_preparation.mkv 290.6 MB
Section 2/02.04-choosing_a_data_preparation_technique.mkv 276.8 MB
Section 2/02.03-data_preparation_defined.mkv 264.2 MB
Section 6/06.06-challenge_of_preparing_new_data_for_a_model.mkv 258.9 MB
Section 4/04.01-feature_selection_introduction.mkv 213.0 MB
Section 4/04.24-feature_importance_scores_defined.mkv 196.3 MB
Section 4/04.19-recursive_feature_elimination.mkv 185.1 MB
Section 2/02.08-common_data_preparation_tasks-data_cleansing.mkv 168.0 MB
Section 3/03.01-data_cleansing_overview.mkv 167.4 MB
Section 1/01.02-course_structure.mkv 164.8 MB
Section 5/05.19-polynomial_features.mkv 160.3 MB
Section 1/01.01-course_introduction.mkv 160.3 MB
Section 2/02.14-problem_with_naive_data_preparation.mkv 149.9 MB
Section 2/02.11-common_data_preparation_tasks-feature_engineering.mkv 141.2 MB
Section 2/02.06-raw_data.mkv 121.0 MB
Section 3/03.05-identify_and_remove_rows_that_contain_duplicate_data.mkv 116.2 MB
Section 4/04.03-statistics_for_feature_selection.mkv 109.4 MB
Section 3/03.06-defining_outliers.mkv 102.4 MB
Section 7/07.02-techniques_for_dimensionality_reduction.mkv 102.2 MB
Section 2/02.02-the_machine_learning_process.mkv 95.2 MB
Section 2/02.05-what_is_data_in_machine_learning.mkv 79.4 MB
Section 3/03.10-mark_missing_values.mkv 62.9 MB
Section 7/07.05-principal_component_analysis.mkv 62.7 MB
Section 4/04.18-tuning_number_of_selected_features.mkv 57.3 MB
Section 6/06.05-automatically_transform_target_variable.mkv 57.1 MB
Section 2/02.09-common_data_preparation_tasks-feature_selection.mkv 54.2 MB
Section 4/04.20-rfe_for_classification.mkv 53.5 MB
Section 3/03.09-automatic_outlier_detection.mkv 52.7 MB
Section 3/03.07-remove_outliers-the_standard_deviation_approach.mkv 52.4 MB
Section 7/07.04-linear_discriminant_analysis_demonstrated.mkv 51.5 MB
Section 2/02.15-case_study_data_leakage_train__test__split_naive_approach.mkv 49.2 MB
Section 5/05.13-ordinal_encoder_transform_on_breast_cancer_dataset.mkv 47.9 MB
Section 3/03.16-k-nearest_neighbors_imputation.mkv 46.5 MB
Section 5/05.05-robust_scaling_data.mkv 44.6 MB
Section 4/04.29-feature_selection_with_importance.mkv 44.4 MB
Section 3/03.13-mean_value_imputation.mkv 43.9 MB
Section 4/04.09-feature_selection_with_anova_on_numerical_input.mkv 43.8 MB
Section 3/03.08-remove_outliers-the_iqr_approach.mkv 42.7 MB
Section 6/06.07-save_model_and_data_scaler.mkv 42.3 MB
Section 2/02.17-case_study_data_leakage_k-fold_naive_approach.mkv 41.5 MB
Section 4/04.12-tuning_a_number_of_selected_features.mkv 39.8 MB
Section 3/03.18-iterative_imputation.mkv 39.4 MB
Section 4/04.08-modeling_with_selected_categorical_features.mkv 39.2 MB
Section 4/04.26-feature_importance_scores_logistic_regression_and_cart.mkv 38.3 MB
Section 4/04.16-baseline_and_model_built_using_correlation.mkv 37.5 MB
Section 2/02.18-case_study_data_leakage_k-fold_correct_approach.mkv 37.1 MB
Section 6/06.03-the_columntransformer_on_abalone_dataset.mkv 37.0 MB
Section 4/04.25-feature_importance_scores_linear_regression.mkv 36.9 MB
Section 3/03.17-knnimputer_and_model_evaluation.mkv 36.0 MB
Section 4/04.22-rfe_hyperparameters.mkv 34.2 MB
Section 5/05.17-box-cox_on_sonar_dataset.mkv 33.3 MB
Section 3/03.03-identify_columns_with_few_values.mkv 32.7 MB
Section 4/04.23-feature_ranking_for_rfe.mkv 31.0 MB
Section 4/04.15-linear_correlation_with_mutual_information.mkv 30.8 MB
Section 3/03.04-remove_columns_with_low_variance.mkv 30.6 MB
Section 2/02.07-machine_learning_is_mostly_data_preparation.mkv 30.5 MB
Section 5/05.16-power_transform_on_sonar_dataset.mkv 30.4 MB
Section 5/05.04-standardscaler_transform.mkv 29.9 MB
Section 4/04.28-permutation_feature_importance.mkv 29.8 MB
Section 6/06.02-the_columntransformer.mkv 29.6 MB
Section 3/03.11-remove_rows_with_missing_values.mkv 29.1 MB
Section 4/04.04-loading_a_categorical_dataset.mkv 29.0 MB
Section 2/02.16-case_study_data_leakage_train__test__split_correct_approach.mkv 28.5 MB
Section 4/04.21-rfe_for_regression.mkv 27.5 MB
Section 4/04.14-linear_correlation_with_correlation_statistics.mkv 27.5 MB
Section 5/05.18-yeo-johnson_on_sonar_dataset.mkv 27.3 MB
Section 4/04.11-modeling_with_selected_numerical_features.mkv 27.2 MB
Section 3/03.15-compare_different_statistical_imputation_strategies.mkv 26.5 MB
Section 4/04.05-encode_the_dataset_for_modelling.mkv 26.2 MB
Section 6/06.04-manually_transform_target_variable.mkv 25.7 MB
Section 5/05.03-minmaxscaler_transform.mkv 25.4 MB
Section 6/06.01-transforming_different_data_types.mkv 24.6 MB
Section 5/05.02-diabetes_dataset_for_scaling.mkv 24.2 MB
Section 3/03.20-iterativeimputer_and_different_imputation_order.mkv 24.1 MB
Section 4/04.13-select_features_for_numerical_output.mkv 23.8 MB
Section 5/05.06-robust_scaler_applied_to_dataset.mkv 23.7 MB
Section 5/05.15-power_transform_on_contrived_dataset.mkv 22.4 MB
Section 3/03.14-simple_imputer_with_model_evaluation.mkv 22.3 MB
Section 7/07.03-linear_discriminant_analysis.mkv 20.2 MB
Section 5/05.20-effect_of_polynomial_degrees.mkv 20.2 MB
Section 3/03.19-iterativeimputer_and_model_evaluation.mkv 19.3 MB
Section 4/04.10-feature_selection_with_mutual_information.mkv 19.1 MB
Section 4/04.07-mutual_information.mkv 19.1 MB
Section 3/03.02-identify_columns_that_contain_a_single_value.mkv 19.0 MB
Section 6/06.08-load_and_apply_saved_scalers.mkv 18.8 MB
Section 4/04.06-chi-squared.mkv 18.3 MB
Section 5/05.12-dummy_variable_encoding.mkv 18.3 MB
Section 5/05.11-one-hot_encoding.mkv 18.1 MB
Section 5/05.09-ordinal_encoding.mkv 17.8 MB
Section 4/04.27-feature_importance_scores_random_forests.mkv 17.8 MB
Section 5/05.07-explore_robust_scaler_range.mkv 15.6 MB
Section 7/07.01-curse_of_dimensionality.mkv 15.0 MB
Section 4/04.02-feature_selection_defined.mkv 12.5 MB
Section 4/04.17-model_built_using_mutual_information_features.mkv 12.0 MB
Section 2/02.13-data_leakage.mkv 11.8 MB
Section 5/05.01-scale_numerical_data.mkv 11.6 MB
Section 2/02.10-common_data_preparation_tasks-data_transforms.mkv 11.0 MB
Section 2/02.12-common_data_preparation_tasks-dimensionality_reduction.mkv 9.6 MB
Section 5/05.14-make_distributions_more_gaussian.mkv 9.3 MB
Section 3/03.12-statistical_imputation.mkv 6.3 MB
Section 1/01.03-is_this_course_right_for_you.mkv 4.5 MB
Section 5/05.10-one-hot_encoding_defined.mkv 3.9 MB
.pad/1041423 1.0 MB
.pad/1035088 1.0 MB
.pad/1028594 1.0 MB
.pad/1026228 1.0 MB
.pad/1021767 1.0 MB
.pad/1020837 1.0 MB
.pad/1020280 1.0 MB
.pad/1016141 1.0 MB
.pad/1010788 1.0 MB
.pad/982018 982.0 kB
.pad/937414 937.4 kB
.pad/930537 930.5 kB
.pad/928873 928.9 kB
.pad/917539 917.5 kB
.pad/906845 906.8 kB
.pad/901620 901.6 kB
.pad/897414 897.4 kB
.pad/892696 892.7 kB
.pad/873536 873.5 kB
.pad/873062 873.1 kB
.pad/856348 856.3 kB
.pad/851725 851.7 kB
.pad/848705 848.7 kB
.pad/842348 842.3 kB
.pad/834432 834.4 kB
.pad/831070 831.1 kB
.pad/819459 819.5 kB
.pad/814529 814.5 kB
.pad/811976 812.0 kB
.pad/786774 786.8 kB
.pad/783322 783.3 kB
.pad/782810 782.8 kB
.pad/779464 779.5 kB
.pad/774239 774.2 kB
.pad/767547 767.5 kB
.pad/761582 761.6 kB
.pad/738326 738.3 kB
.pad/736848 736.8 kB
.pad/717787 717.8 kB
.pad/707365 707.4 kB
.pad/706490 706.5 kB
.pad/697727 697.7 kB
.pad/692284 692.3 kB
.pad/683391 683.4 kB
.pad/678321 678.3 kB
.pad/654842 654.8 kB
.pad/649746 649.7 kB
.pad/639658 639.7 kB
.pad/627675 627.7 kB
.pad/622970 623.0 kB
.pad/620841 620.8 kB
.pad/606506 606.5 kB
.pad/605900 605.9 kB
.pad/600149 600.1 kB
.pad/593468 593.5 kB
.pad/566501 566.5 kB
.pad/563078 563.1 kB
.pad/539781 539.8 kB
.pad/538114 538.1 kB
.pad/531461 531.5 kB
.pad/522851 522.9 kB
.pad/492371 492.4 kB
.pad/489846 489.8 kB
.pad/461403 461.4 kB
.pad/450945 450.9 kB
.pad/428522 428.5 kB
.pad/420830 420.8 kB
.pad/407005 407.0 kB
.pad/395493 395.5 kB
.pad/382577 382.6 kB
.pad/369512 369.5 kB
.pad/367910 367.9 kB
.pad/355303 355.3 kB
.pad/355091 355.1 kB
.pad/352730 352.7 kB
.pad/342030 342.0 kB
.pad/338259 338.3 kB
.pad/331623 331.6 kB
.pad/326111 326.1 kB
.pad/313564 313.6 kB
Exercises Files.zip 311.7 kB
.pad/306943 306.9 kB
.pad/277880 277.9 kB
.pad/270981 271.0 kB
.pad/237919 237.9 kB
.pad/233879 233.9 kB
.pad/233595 233.6 kB
.pad/223708 223.7 kB
.pad/153574 153.6 kB
.pad/146780 146.8 kB
.pad/140111 140.1 kB
.pad/126104 126.1 kB
.pad/125449 125.4 kB
.pad/113444 113.4 kB
.pad/98079 98.1 kB
.pad/97497 97.5 kB
.pad/84317 84.3 kB
.pad/67333 67.3 kB
.pad/60059 60.1 kB
.pad/32073 32.1 kB
.pad/24755 24.8 kB
.pad/16481 16.5 kB
.pad/8885 8.9 kB
.pad/2225 2.2 kB

PacktPub - Data Cleansing Master Class in Python

磁力链接/BT种子名称

磁力链接/BT种子简介

移花宫入口

磁力链接下载

下载BT种子文件

最近搜索

文件列表

随机展示

相关说明