Icon04_​Measure_​Lengths 

This workflow shows how you can measure an object's length in y-dimension f(x) for each x-value it spans. This can, of course, be generalized for measuring […]

IconSolution_​Round_​8_​Comfortably_​Knime_​GN 

<h1>Predicting User Clicks on an Ad</h1><hr><h5>Challenge description:</h5><p>You work as a data scientist for a consulting firm specialized in marketing […]

Iconjustknimeit-14 

Description: You are working with audio recognition data tables such that each table’s initial and final rows contain zeroes. These beginning and ending […]

IconClax_​Written_​Letters_​Random_​Forest 

Classification of written letters with a Random Forest Training a random forest to classify written letters. This is the solution to the exercise in […]

Icon03 Create Grid with GAUL and Visualize Feature Collection 

Workflow Steps GAUL Map: Reads the GAUL map data. Function: This node imports the GAUL map, which contains global administrative boundaries. Feature […]

IconBuild a Random Forest Classifier using CellProfiler image features (1) 

Extracted features from training images are read into the workflow. This data is annotated with a class variable and partitioned between training and […]

IconTesting - Hybrid Model (Collaborative Filtering & Feature Generation - Linear Regression) (1st Iteration) 

<h1><strong>Hybrid Model - Incorporates Collaborative Filtering and Feature Generation </strong>(First Iteration)</h1>

Icon12_​DocumentVector_​FeatureSpaceAdaption 

The workflow shows how to use a Document Vector Adapter node in order to adjust the feature space of a second set of documents to make it identical to the […]

Icon12_​DocumentVector_​FeatureSpaceAdaption 

The workflow shows how to use a Document Vector Adapter node in order to adjust the feature space of a second set of documents to make it identical to the […]