Icon02_​AutoML_​Regression_​and_​Classification_​Examples 

This application is a simple example of AutoML with KNIME Software for regression and classification tasks. The key of this example is the “AutoML […]

IconModel_​Simulation_​View_​Example 

Model Simulation View Examples This workflow shows how to use the "Model Simulation View" components in combination with the "AutoML" and "AutoML […]

Iconmodel_​test2 

IconKNIME_​challenge24_​solution 

KNIME_challenge23_solution Challenge 24: Modeling Churn Predictions - Part 2 Level: Easy to Medium Description: Just like in last week’s […]

Icon01_​Model_​Monitoring_​with_​AutoML_​and_​MLOps 

Model Monitoring with Integrated Deployment This is an example showing how you can monitor a deployed model using Integrated Deployment and Guided […]

Icon01_​Model_​Monitoring_​with_​Integrated_​Deployment 

This an example showing how you can monitor a deployed model using Integrated Deployment and Guided Analytics.

IconJKISeason2-9 

Uses Linear Regression to produce signifiance factor coefficients. Uses AutoMl to produce best model (Gradient Boosted Trees.)

IconEnsembl API Modules 

Double-click top left corner to edit.

IconSolution_​Round_​4_​KNirvana 

<p><strong>Round of 4 Solution</strong></p><p><strong>Challenge_Round_4 : A Comprehensive Analysis and Prediction of Zoo Animals</strong></p><p></p> TAGS: […]

Icon04_​Data_​Preprocessing_​for_​ML_​Models1 

Data Preprocessing for ML Models This workflow demonstrates the following standard preprocessing steps before training a machine learning model: - […]