[FreeCoursesOnline.Me] PacktPub - Data Cleansing Master Class in Python

[FreeCoursesOnline.Me] PacktPub - Data Cleansing Master Class in Python metadata, size 5996.95 MB, 109 files, category video, indexed at 2026-08-01.

大小:5.9 GB 格式:mkv 分类:视频 文件数量:109 个 发掘时间:2026-08-02 02:17:48 最后活跃:2026-08-02 02:17:48

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Infohashdfa70d9e9d4ce97bce01a92efc326505231ddbb8 总大小5.9 GB 格式mkv 分类视频 文件数109 发掘时间(北京时间)2026-08-02 02:17:48 最后活跃(北京时间)2026-08-02 02:17:48

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文件列表

文件名格式大小
0. OneHack.us Premium Cracked Accounts-Tutorials-Guides-Articles Community Based Forum.urlurl377 B
1. FreeCoursesOnline.Me Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.urlurl286 B
3. FTUApps.com Download Cracked Developers Applications For Free.urlurl239 B
For $3, Get Anything Official like Windows 11 keys + Microsoft Office 365 Accounts! Hurry! Limited Time Offer.urlurl1.8 KB
How you can help our Group!.txttxt204 B
Exercises Files.zipzip304.4 KB
01.01-course_introduction.mkvmkv152.9 MB
01.02-course_structure.mkvmkv157.2 MB
01.03-is_this_course_right_for_you.mkvmkv4.3 MB
02.01-introducing_data_preparation.mkvmkv277.1 MB
02.02-the_machine_learning_process.mkvmkv90.8 MB
02.03-data_preparation_defined.mkvmkv251.9 MB
02.04-choosing_a_data_preparation_technique.mkvmkv264.0 MB
02.05-what_is_data_in_machine_learning.mkvmkv75.7 MB
02.06-raw_data.mkvmkv115.3 MB
02.07-machine_learning_is_mostly_data_preparation.mkvmkv29.1 MB
02.08-common_data_preparation_tasks-data_cleansing.mkvmkv160.2 MB
02.09-common_data_preparation_tasks-feature_selection.mkvmkv51.7 MB
02.10-common_data_preparation_tasks-data_transforms.mkvmkv10.5 MB
02.11-common_data_preparation_tasks-feature_engineering.mkvmkv134.6 MB
02.12-common_data_preparation_tasks-dimensionality_reduction.mkvmkv9.1 MB
02.13-data_leakage.mkvmkv11.3 MB
02.14-problem_with_naive_data_preparation.mkvmkv142.9 MB
02.15-case_study_data_leakage_train__test__split_naive_approach.mkvmkv46.9 MB
02.16-case_study_data_leakage_train__test__split_correct_approach.mkvmkv27.2 MB
02.17-case_study_data_leakage_k-fold_naive_approach.mkvmkv39.6 MB
02.18-case_study_data_leakage_k-fold_correct_approach.mkvmkv35.4 MB
03.01-data_cleansing_overview.mkvmkv159.7 MB
03.02-identify_columns_that_contain_a_single_value.mkvmkv18.1 MB
03.03-identify_columns_with_few_values.mkvmkv31.2 MB
03.04-remove_columns_with_low_variance.mkvmkv29.1 MB
03.05-identify_and_remove_rows_that_contain_duplicate_data.mkvmkv110.8 MB
03.06-defining_outliers.mkvmkv97.7 MB
03.07-remove_outliers-the_standard_deviation_approach.mkvmkv50.0 MB
03.08-remove_outliers-the_iqr_approach.mkvmkv40.7 MB
03.09-automatic_outlier_detection.mkvmkv50.2 MB
03.10-mark_missing_values.mkvmkv60.0 MB
03.11-remove_rows_with_missing_values.mkvmkv27.7 MB
03.12-statistical_imputation.mkvmkv6.0 MB
03.13-mean_value_imputation.mkvmkv41.9 MB
03.14-simple_imputer_with_model_evaluation.mkvmkv21.3 MB
03.15-compare_different_statistical_imputation_strategies.mkvmkv25.3 MB
03.16-k-nearest_neighbors_imputation.mkvmkv44.4 MB
03.17-knnimputer_and_model_evaluation.mkvmkv34.3 MB
03.18-iterative_imputation.mkvmkv37.6 MB
03.19-iterativeimputer_and_model_evaluation.mkvmkv18.4 MB
03.20-iterativeimputer_and_different_imputation_order.mkvmkv23.0 MB
04.01-feature_selection_introduction.mkvmkv203.1 MB
04.02-feature_selection_defined.mkvmkv11.9 MB
04.03-statistics_for_feature_selection.mkvmkv104.3 MB

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