Interactive Data Cleaning 

This KNIME component allows you to apply various data cleaning steps interactively. Default configuration will implement cleaning of missing values and […]

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Icon04 Advanced Machine Learning 

This workflow shows a hands-on exercise in the L2-DS Introduction to KNIME Analytics Platform for Data Scientists - Advanced course

Icon07 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, […]

Icon08 Parameter Optimization 

08 Parameter Optimization Exercise for building a parameter optimization loop. Optimize the number of trees in a Random Forest model with a […]

IconFully_​Automated 

This application takes a tabular input data and creates a classification model by automating feature selection, outlier detection, missing value handling, […]

Icon04 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 […]

Icon07 Random Forest - Solution 

07 Random Forest - Solution Solution to an exercise for training a Random Forest model. Build a Random Forest (Regression) model on a training set. […]

Icon02 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