Forward_Feature_Selection_Understanding
This workflow shows how to perform a forward feature selection on the iris data set using the preconfigured Forward Feature Selection meta node.
03_Perform_Feature_Selection
This workflow shows how to perform a forward feature selection on the iris data set using the preconfigured Forward Feature Selection meta node.
Titanic_136_Age_Phase_4_Lineare_Regression
Titanic: Age Phase 4 (Modeling) Lineare Regression URL: Data Science Training - Kapitel 13 https://data-science.training/kapitel-13/
Titanic_071_Phase_4_Modeling_NB
Titanic: Phase 4 (Modeling) Naive Bayes v0 v3 v4 v5 URL: Data Science Training - Kapitel 7 https://data-science.training/kapitel-7/
Titanic_114_Phase_4_Modeling_GBT
Titanic: Phase 4 (Modeling) Gradient Boosted Trees v0 v3 v4 v5 URL: Data Science Training - Kapitel 11 https://data-science.training/kapitel-11/
Titanic_111_Phase_4_Modeling_RF
Titanic: Phase 4 (Modeling) Random Forest v0 v3 v4 v5 URL: Data Science Training - Kapitel 11 https://data-science.training/kapitel-11/
Titanic_072_Phase_5_Evaluation_NB
Titanic: Phase 5 (Evaluation) Naive Bayes v0 v3 v4 v5 URL: Data Science Training - Kapitel 7 https://data-science.training/kapitel-7/
08_Labeling_Filter
This workflow explains the filtering of labels based on their properties. Generally, there are two common ways how this can be done (using either Labeling […]
08 Classification II - exercise
Text Mining Course: Preprocessing, Transformation, and Classification Models (bonus exercise) -Create document vectors for the second set of documents. The […]