04_Modellierung_mit_k-Nearest_Neighbor
This directory contains 8 workflows.
Titanic_041_Phase_2_Data_Understanding_Embarked
Titanic: Phase 2 (Data Understanding) Embarked URL: Data Science Training - Kapitel 4 https://data-science.training/kapitel-4/
Titanic_042_Phase_2_Data_Understanding_Fare
Titanic: Phase 2 (Data Understanding) Fare URL: Data Science Training - Kapitel 4 https://data-science.training/kapitel-4/
Titanic_043_Phase_2_Data_Understanding_Age
Titanic: Phase 2 (Data Understanding) Age URL: Data Science Training - Kapitel 4 https://data-science.training/kapitel-4/
Titanic_044_Phase_3_Data_Preparation_v2
Titanic: Phase 3 (Data Preparation) v2 URL: Data Science Training - Kapitel 4 https://data-science.training/kapitel-4/
Titanic_045_Phase_4_Modeling_kNN
Titanic: Phase 4 (Modeling) k-nearest Neighbor URL: Data Science Training - Kapitel 4 https://data-science.training/kapitel-4/
Titanic_046_Phase_4_Modeling_kNN_Kreuzvalidierung
Titanic: Phase 4 (Modeling) k-nearest Neighbor und Kreuzvalidierung URL: Data Science Training - Kapitel 4 https://data-science.training/kapitel-4/
Titanic_047_Phase_5_Evaluation_kNN
Titanic: Phase 5 (Evaluation) k-Nearest Neighbor URL: Data Science Training - Kapitel 4 https://data-science.training/kapitel-4/
Titanic_048_Phase_6_Deployment_kNN
Titanic: Phase 6 (Deployment) k-Nearest Neighbor URL: Data Science Training - Kapitel 4 https://data-science.training/kapitel-4/