PacktPub Data Cleansing Master Class in Python Section 04 09 feature selection with anova on numerical input mkv

PacktPub Data Cleansing Master Class in Python
Section 04 09 feature selection with anova on numerical input mkv

Name	PacktPub - Data Cleansing Master Class in Python	DOWNLOAD Copy Link Trouble downloading? see How To
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/Section 4/04.09-feature_selection_with_anova_on_numerical_input.mkv	43.8 MB
/Section 4/04.10-feature_selection_with_mutual_information.mkv	19.1 MB
/Section 4/04.29-feature_selection_with_importance.mkv	44.4 MB
/Section 4/04.01-feature_selection_introduction.mkv	213.0 MB
/Section 4/04.02-feature_selection_defined.mkv	12.5 MB
/Section 4/04.13-select_features_for_numerical_output.mkv	23.8 MB
/Section 4/04.11-modeling_with_selected_numerical_features.mkv	27.2 MB
/Section 4/04.15-linear_correlation_with_mutual_information.mkv	30.8 MB
/Section 4/04.24-feature_importance_scores_defined.mkv	196.3 MB
/Section 3/03.04-remove_columns_with_low_variance.mkv	30.6 MB
/Section 4/04.14-linear_correlation_with_correlation_statistics.mkv	27.5 MB
/Section 4/04.05-encode_the_dataset_for_modelling.mkv	26.2 MB
/Section 4/04.08-modeling_with_selected_categorical_features.mkv	39.2 MB
/Section 4/04.23-feature_ranking_for_rfe.mkv	31.0 MB
/Section 4/04.25-feature_importance_scores_linear_regression.mkv	36.9 MB
Showing first 15 files of 109 total files