Educational Videos Demo Workflows

Parameter Optimization Loop 

This workflow is an example of how to build a basic prediction / classification model using logistic regression. URL: Logistic Regression Node: Algorithm […]

Random Forest Modeling and Prediction in KNIME 

Training a decision tree and training a random forest of decision trees. URL: Decision Tree Node: Algorithm Settings https://youtu.be/CSwM92yTrJw

Recommendation Engine 

Introduction to Machine Learning Algorithms course - Session 3 Solution to exercise 2 - Find association rules for Market Basket Analysis using the […]

Regression Tree Learner and Predictor 

Auto-MPG data, aggregated by the origin (US, EU, & JP) and plotted over model years (1970-1982). Results are plotted in a line plot (mean MPG) and in a […]

ROC Curve 

Training and Applying Decision Trees 

This workflow is an example of how to build a basic prediction / classification model using logistic regression. URL: Logistic Regression Node: Algorithm […]

Training Clustering Algorithms 

<p>Clustering algorithms applied to the iris data. Three clustering algorithms are used:</p><ul><li><p>K-Means</p></li><li><p>Hierarchical […]

Working with images in KNIME 

This workflow reads an image dataset and performs basic image manipulation operations. The nodes are part of the KNIME Image Processing community extension.