Icon04_​train_​model 

01_caption_preprocessing After we cleaned the training captions and pre-calculated image-/word- features, the caption network can be trained. In this […]

IconSunburstChart-Features 

Sunburst Visualization of qualitative features generated with the qualitative annotations plugins in Fiji URL: GitHub repo […]

Iconxgboost parameter tuning (maximise ROC) using Bayes Optimization 

xgboost parameter tuning and handling large datasets This example demonstrates following: 1. Handling Large datasets in KNIME--Setting Memory […]

Iconkn_​example_​python_​iris_​2021 

Simple example to make a random forest model with new Python Scrip in KNIME 4.5 using the iris dataset. Saving and reusing the model with Pickle Also […]

Iconkn_​example_​ml_​multiclass_​wine_​quality 

Score UCI Wine Quality Dataset - multiple Targets (multiclass) with H2O.ai nodes and other models - measure results with […]

Iconkn_​forum_​58594_​explore_​sensor_​data_​file 

Import and explore possible sensor data (KNIME forum entry 58594, 58393) - create reports with pandas-profiler and sweetviz

Iconkn_​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 […]

IconEnterprise AI Canvas (Example) 

Enterprise AI Canvas Integrating Artificial Intelligence into Business: An Example for A Supermarket Chain Focusing On Store Replenishment Artificial […]

IconFV_​April2 

Instructions on how to use the nodes in the four "[Model name] validation and important metrics" boxes. 1. These boxes contain all the necessary nodes to […]

IconTest_​1 

Instructions on how to use the nodes in the four "[Model name] validation and important metrics" boxes. 1. These boxes contain all the necessary nodes to […]