04 Components
04 Components - Solution Solution to an exercise for creating a component and using a shared component. Create a component that filters data based […]
07 Random Forest
07 Random Forest Exercise for training a Random Forest model. Build a Random Forest (Regression) model on a training set. Apply it to a test set, […]
08 Parameter Optimization - Solution
08 Parameter Optimization - Solution Solution to an exercise for building a parameter optimization loop. Optimize the number of trees in a Random […]
08 Parameter Optimization
Exercise for building a parameter optimization loop. Optimize the number of trees in a Random Forest model with a parameter optimization loop.
04 Components
Exercise for creating a component and using a shared component. Create a component that filters data based on a user selection. Drag and drop a component […]
04 Components
04 Components Exercise for creating a component and using a shared component. Create a component that filters data based on a user selection. Drag […]
02 Flow Variables and Components - Solution
This workflow shows a solution to a hands-on exercise in the L2-DS Introduction to KNIME Analytics Platform for Data Scientists - Advanced course
04 Advanced Machine Learning LAB
This workflow shows a solution to a hands-on exercise in the L2-DS Introduction to KNIME Analytics Platform for Data Scientists - Advanced course
Variance Inflation Factor (VIF) filter
This component implements a backward elimination process to remove collinear variables in a regression. It calculates Variance Inflation Factor (VIF) across […]