01_Train_and_Explain_Keras_Network_with_Counterfactuals
This application is a simple example of using Conterfactual Explanations (Python) Component to identify the counterfactual instances for a Binary […]
Conformal prediction classification
This demo describes how to enrich the classification workflow with conformal prediction methods that allows to estimate model prediction certainity and […]
07_Group_By
This workflow shows the use of the GroupBy Node in the context of Image Processing where it can be used to merge individual segments into an entire image […]
kn_automl_h2o_regression_python_vtreat
H2O.ai AutoML (wrapped with Python) with vtreat data preparation in KNIME for regression problems (with R vtreat) - a powerful auto-machine-learning […]
ML_Algorithms_DecisionTreeClassifier
This is an example workflow to test Simple Machine learning classification algorithms on daily weather data set. To Predict => Low Humid Day or Not
kn_example_ml_regression_housing_prices
Score Kaggle House Prices: Advanced Regression Techniques - prepare data with vtreat - use H2O.ai nodes and other models - measure results with […]
kn_example_python_excel_image_extract
Extract images from an Excel file with the help of Python / OpenPyxl there is a Jupyter notebook to experiment with under […]
09_Wide_and_Deep_Learning_on_Census_Dataset
This workflow shows one way of applying deep learning to tabular data. The main focus of the workflow lies on data preparation and semi-automatic network […]