House Prices - JKISeason3-3
TAGS: JKISeason3-3,House Prices,EDA,Machine Learning
DecisionTree (Iris)
URL: Decision Tree Node: Algorithm Settings https://youtu.be/CSwM92yTrJw
perth 1
A linear regression model is trained to predict prices of houses in Ames, Iowa, USA. A number of numerical features are included as predictors First we […]
Titanic_091_Phase_4_Modeling_MLP
Titanic: Phase 4 (Modeling) Multilayer Perzeptron v4 v5
Titanic_062_Phase_4_Modeling_kNN_neue_Gütemaße
Titanic: Phase 4 (Modeling) k-Nearest Neighbor (v4, v5) Neue Gütemaße URL: Data Science Training - Kapitel 6 https://data-science.training/kapitel-6/
LAB01_Regression_LabScheme_Taxi
Linear regression: predict house price. - Partition data into training and test set - Train a linear regression model - Apply the trained model to the test […]
LAB01_Regression_LabScheme_Taxi_Arman_Moradi_final
Linear regression: predict house price. - Partition data into training and test set - Train a linear regression model - Apply the trained model to the test […]
LAB01_Regression_LabScheme_Taxi
Linear regression: predict house price. - Partition data into training and test set - Train a linear regression model - Apply the trained model to the test […]
Titanic_084_Phase_5_Evaluation_DT_Parameterstudie
Titanic: Phase 5 (Evaluation) Decision Tree v3 optimiert URL: Data Science Training - Kapitel 8 https://data-science.training/kapitel-8/
Titanic_105_Phase_5_Evaluation_LR
Titanic: Phase 5 (Evaluation) Logistic Regression v4 v5 URL: Data Science Training - Kapitel 10 https://data-science.training/kapitel-10/