PacktPub Data Cleansing Master Class in Python Section 04 13 select features for numerical output mkv

PacktPub Data Cleansing Master Class in Python
Section 04 13 select features for numerical output mkv

Name	PacktPub - Data Cleansing Master Class in Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	6.3 GB
Total Files	109
Last Seen	2025-05-30 00:03
Hash	87770D2C311EE803FE0FB90204C7699FDB3031B3

/Section 4/04.13-select_features_for_numerical_output.mkv	23.8 MB
/Section 5/05.01-scale_numerical_data.mkv	11.6 MB
/Section 4/04.23-feature_ranking_for_rfe.mkv	31.0 MB
/Section 4/04.11-modeling_with_selected_numerical_features.mkv	27.2 MB
/Section 4/04.19-recursive_feature_elimination.mkv	185.1 MB
/Section 4/04.03-statistics_for_feature_selection.mkv	109.4 MB
/Section 4/04.01-feature_selection_introduction.mkv	213.0 MB
/Section 4/04.04-loading_a_categorical_dataset.mkv	29.0 MB
/Section 4/04.09-feature_selection_with_anova_on_numerical_input.mkv	43.8 MB
/Section 4/04.28-permutation_feature_importance.mkv	29.8 MB
/Section 3/03.13-mean_value_imputation.mkv	43.9 MB
/Section 4/04.02-feature_selection_defined.mkv	12.5 MB
/Section 4/04.05-encode_the_dataset_for_modelling.mkv	26.2 MB
/Section 4/04.20-rfe_for_classification.mkv	53.5 MB
/Section 4/04.21-rfe_for_regression.mkv	27.5 MB
Showing first 15 files of 109 total files