PacktPub Data Cleansing Master Class in Python Section 04 24 feature importance scores defined mkv

PacktPub Data Cleansing Master Class in Python
Section 04 24 feature importance scores defined mkv

Name	PacktPub - Data Cleansing Master Class in Python	DOWNLOAD Copy Link Trouble downloading? see How To
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/Section 4/04.24-feature_importance_scores_defined.mkv	196.3 MB
/Section 4/04.27-feature_importance_scores_random_forests.mkv	17.8 MB
/Section 4/04.25-feature_importance_scores_linear_regression.mkv	36.9 MB
/Section 4/04.02-feature_selection_defined.mkv	12.5 MB
/Section 4/04.23-feature_ranking_for_rfe.mkv	31.0 MB
/Section 2/02.03-data_preparation_defined.mkv	264.2 MB
/Section 4/04.01-feature_selection_introduction.mkv	213.0 MB
/Section 4/04.29-feature_selection_with_importance.mkv	44.4 MB
/Section 5/05.10-one-hot_encoding_defined.mkv	3.9 MB
/Section 4/04.05-encode_the_dataset_for_modelling.mkv	26.2 MB
/Section 4/04.21-rfe_for_regression.mkv	27.5 MB
/Section 4/04.26-feature_importance_scores_logistic_regression_and_cart.mkv	38.3 MB
/Section 4/04.07-mutual_information.mkv	19.1 MB
/Section 4/04.22-rfe_hyperparameters.mkv	34.2 MB
/Section 3/03.18-iterative_imputation.mkv	39.4 MB
Showing first 15 files of 109 total files