Training a decision tree and training a random forest of decision trees.
<p><strong>Challenge 3: Real Estate Analytics</strong></p><hr><p><strong>Level: </strong>Easy</p><p><strong>Description: </strong>You are a real estate […]
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 […]
<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 […]
Classification of written letters with a Random Forest Training a random forest to classify written letters. This is the solution to the exercise in […]
Description: You are working with audio recognition data tables such that each table’s initial and final rows contain zeroes. These beginning and ending […]
There has been no description set for this workflow's metadata.
Workflow Steps GAUL Map: Reads the GAUL map data. Function: This node imports the GAUL map, which contains global administrative boundaries. Feature […]
Extracted features from training images are read into the workflow. This data is annotated with a class variable and partitioned between training and […]
<h1><strong>Hybrid Model - Incorporates Collaborative Filtering and Feature Generation </strong>(First Iteration)</h1>
Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to mail@nodepit.com.
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.