kn_automl_h2o_regression_python
H2O.ai AutoML (wrapped with Python) in KNIME for regression problems - a powerful auto-machine-learning framework […]
kn_automl_h2o_regression_r
H2O.ai AutoML (wrapped with R) in KNIME for regression problems - a powerful auto-machine-learning framework […]
kn_automl_h2o_regression_r
H2O.ai AutoML (wrapped with R) in KNIME for regression problems - a powerful auto-machine-learning framework […]
s_410_h2o_automl_classification_python
H2O.ai AutoML in KNIME for classification problems a powerful auto-machine-learning […]
s_415_h2o_automl_classification_r
H2O.ai AutoML (wrapped with R) in KNIME for classification problems - a powerful auto-machine-learning […]
conda_environment_kaggle_apple_silicon
KNIME and Python — Setting up and managing Conda […]
kn_example_ml_binary_extra_trees
use KNIME / Python and sklearn to build a model with ExtraTreesClassifier - also preparing mixed data with vtreat
kn_example_ml_binary_python_xgboost
Binary Classification - use Python XGBoost package and other nodes to build model and deploy that thru KNIME Python nodes prepare data with vtreat […]
kn_example_python_xgboost
use Python XGBoost package to build model and deploy that thru KNIME Python nodes in the subfolder /data/ there is a Jupyter notebook to experiment and […]
kn_example_python_component_py_module
use a component to create individual python code dynamically in a sub-folder ... well admittedly not the most elegant […]