magnet:?xt=urn:btih:DFA70D9E9D4CE97BCE01A92EFC326505231DDBB8
推荐使用PIKPAK网盘下载资源，PIKPAK是目前最好用网盘，10T超大空间，不和谐任何资源，支持无限次数离线下载，视频在线观看
磁力链接
资源截图
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
- Exercises Files.zip 311.7 kB
- 0. Websites you may like/For $3, Get Anything Official like Windows 11 keys + Microsoft Office 365 Accounts! Hurry! Limited Time Offer.url 1.9 kB
- 0. Websites you may like/0. OneHack.us Premium Cracked Accounts-Tutorials-Guides-Articles Community Based Forum.url 377 Bytes
- 0. Websites you may like/1. FreeCoursesOnline.Me Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url 286 Bytes
- 0. Websites you may like/3. FTUApps.com Download Cracked Developers Applications For Free.url 239 Bytes
- 0. Websites you may like/How you can help our Group!.txt 204 Bytes
温馨提示
本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！