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[FreeCoursesOnline.Me] PacktPub - Data Cleansing Master Class in Python
Category:
Other
Date:
01/07/22 at 9:01pm GMT+1
Submitter:
Unknown
Seeders:
6
Leechers:
2
File size:
5.9 GB in 95 files
Torrent Status:
This torrent has been
verified
.
Infohash:
dfa70d9e9d4ce97bce01a92efc326505231ddbb8
File list
[FreeCoursesOnline.Me] PacktPub - Data Cleansing Master Class in Python
0. Websites you may like/How you can help our Group!.txt
204 B
Exercises Files.zip
304.4 KB
Section 1/01.01-course_introduction.mkv
152.9 MB
Section 1/01.02-course_structure.mkv
157.2 MB
Section 1/01.03-is_this_course_right_for_you.mkv
4.3 MB
Section 2/02.01-introducing_data_preparation.mkv
277.1 MB
Section 2/02.02-the_machine_learning_process.mkv
90.8 MB
Section 2/02.03-data_preparation_defined.mkv
251.9 MB
Section 2/02.04-choosing_a_data_preparation_technique.mkv
264 MB
Section 2/02.05-what_is_data_in_machine_learning.mkv
75.7 MB
Section 2/02.06-raw_data.mkv
115.3 MB
Section 2/02.07-machine_learning_is_mostly_data_preparation.mkv
29.1 MB
Section 2/02.08-common_data_preparation_tasks-data_cleansing.mkv
160.2 MB
Section 2/02.09-common_data_preparation_tasks-feature_selection.mkv
51.7 MB
Section 2/02.10-common_data_preparation_tasks-data_transforms.mkv
10.5 MB
Section 2/02.11-common_data_preparation_tasks-feature_engineering.mkv
134.6 MB
Section 2/02.12-common_data_preparation_tasks-dimensionality_reduction.mkv
9.1 MB
Section 2/02.13-data_leakage.mkv
11.3 MB
Section 2/02.14-problem_with_naive_data_preparation.mkv
142.9 MB
Section 2/02.15-case_study_data_leakage_train__test__split_naive_approach.mkv
46.9 MB
Section 2/02.16-case_study_data_leakage_train__test__split_correct_approach.mkv
27.2 MB
Section 2/02.17-case_study_data_leakage_k-fold_naive_approach.mkv
39.6 MB
Section 2/02.18-case_study_data_leakage_k-fold_correct_approach.mkv
35.4 MB
Section 3/03.01-data_cleansing_overview.mkv
159.7 MB
Section 3/03.02-identify_columns_that_contain_a_single_value.mkv
18.1 MB
Section 3/03.03-identify_columns_with_few_values.mkv
31.2 MB
Section 3/03.04-remove_columns_with_low_variance.mkv
29.1 MB
Section 3/03.05-identify_and_remove_rows_that_contain_duplicate_data.mkv
110.8 MB
Section 3/03.06-defining_outliers.mkv
97.7 MB
Section 3/03.07-remove_outliers-the_standard_deviation_approach.mkv
50 MB
Section 3/03.08-remove_outliers-the_iqr_approach.mkv
40.7 MB
Section 3/03.09-automatic_outlier_detection.mkv
50.2 MB
Section 3/03.10-mark_missing_values.mkv
60 MB
Section 3/03.11-remove_rows_with_missing_values.mkv
27.7 MB
Section 3/03.12-statistical_imputation.mkv
6 MB
Section 3/03.13-mean_value_imputation.mkv
41.9 MB
Section 3/03.14-simple_imputer_with_model_evaluation.mkv
21.3 MB
Section 3/03.15-compare_different_statistical_imputation_strategies.mkv
25.3 MB
Section 3/03.16-k-nearest_neighbors_imputation.mkv
44.4 MB
Section 3/03.17-knnimputer_and_model_evaluation.mkv
34.3 MB
Section 3/03.18-iterative_imputation.mkv
37.6 MB
Section 3/03.19-iterativeimputer_and_model_evaluation.mkv
18.4 MB
Section 3/03.20-iterativeimputer_and_different_imputation_order.mkv
23 MB
Section 4/04.01-feature_selection_introduction.mkv
203.1 MB
Section 4/04.02-feature_selection_defined.mkv
11.9 MB
Section 4/04.03-statistics_for_feature_selection.mkv
104.3 MB
Section 4/04.04-loading_a_categorical_dataset.mkv
27.6 MB
Section 4/04.05-encode_the_dataset_for_modelling.mkv
25 MB
Section 4/04.06-chi-squared.mkv
17.5 MB
Section 4/04.07-mutual_information.mkv
18.2 MB
Section 4/04.08-modeling_with_selected_categorical_features.mkv
37.4 MB
Section 4/04.09-feature_selection_with_anova_on_numerical_input.mkv
41.8 MB
Section 4/04.10-feature_selection_with_mutual_information.mkv
18.2 MB
Section 4/04.11-modeling_with_selected_numerical_features.mkv
26 MB
Section 4/04.12-tuning_a_number_of_selected_features.mkv
38 MB
Section 4/04.13-select_features_for_numerical_output.mkv
22.7 MB
Section 4/04.14-linear_correlation_with_correlation_statistics.mkv
26.2 MB
Section 4/04.15-linear_correlation_with_mutual_information.mkv
29.4 MB
Section 4/04.16-baseline_and_model_built_using_correlation.mkv
35.7 MB
Section 4/04.17-model_built_using_mutual_information_features.mkv
11.4 MB
Section 4/04.18-tuning_number_of_selected_features.mkv
54.7 MB
Section 4/04.19-recursive_feature_elimination.mkv
176.6 MB
Section 4/04.20-rfe_for_classification.mkv
51 MB
Section 4/04.21-rfe_for_regression.mkv
26.2 MB
Section 4/04.22-rfe_hyperparameters.mkv
32.6 MB
Section 4/04.23-feature_ranking_for_rfe.mkv
29.6 MB
Section 4/04.24-feature_importance_scores_defined.mkv
187.2 MB
Section 4/04.25-feature_importance_scores_linear_regression.mkv
35.1 MB
Section 4/04.26-feature_importance_scores_logistic_regression_and_cart.mkv
36.5 MB
Section 4/04.27-feature_importance_scores_random_forests.mkv
17 MB
Section 4/04.28-permutation_feature_importance.mkv
28.4 MB
Section 4/04.29-feature_selection_with_importance.mkv
42.4 MB
Section 5/05.01-scale_numerical_data.mkv
11.1 MB
Section 5/05.02-diabetes_dataset_for_scaling.mkv
23 MB
Section 5/05.03-minmaxscaler_transform.mkv
24.3 MB
Section 5/05.04-standardscaler_transform.mkv
28.5 MB
Section 5/05.05-robust_scaling_data.mkv
42.5 MB
Section 5/05.06-robust_scaler_applied_to_dataset.mkv
22.6 MB
Section 5/05.07-explore_robust_scaler_range.mkv
14.9 MB
Section 5/05.08-nominal_and_ordinal_variables.mkv
301.6 MB
Section 5/05.09-ordinal_encoding.mkv
17 MB
Section 5/05.10-one-hot_encoding_defined.mkv
3.7 MB
Section 5/05.11-one-hot_encoding.mkv
17.3 MB
Section 5/05.12-dummy_variable_encoding.mkv
17.5 MB
Section 5/05.13-ordinal_encoder_transform_on_breast_cancer_dataset.mkv
45.7 MB
Section 5/05.14-make_distributions_more_gaussian.mkv
8.9 MB
Section 5/05.15-power_transform_on_contrived_dataset.mkv
21.3 MB
Section 5/05.16-power_transform_on_sonar_dataset.mkv
29 MB
Section 5/05.17-box-cox_on_sonar_dataset.mkv
31.8 MB
Section 5/05.18-yeo-johnson_on_sonar_dataset.mkv
26 MB
Section 5/05.19-polynomial_features.mkv
152.9 MB
Section 5/05.20-effect_of_polynomial_degrees.mkv
19.2 MB
Section 6/06.01-transforming_different_data_types.mkv
23.4 MB
Section 6/06.02-the_columntransformer.mkv
28.2 MB
Section 6/06.03-the_columntransformer_on_abalone_dataset.mkv
35.3 MB
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