Road Trafic Accident Analictics
<p><strong>CAPTURE DEPLOYMENT: GRADIENT BOOSTED TREE LEARNER</strong></p>
kn_example_python_graphic_boxenplot_large_distribution_46
KNIME & Python Graphics - Boxenplot Plotting large distributions - using the bundled Python integration (KNIME 4.6+) adapted from: […]
TrainingWorkflow
<h4>EDA</h4><p>Here is presented the Exploratory Data Analysis both for the dataset with "duplicates" and without, as a way of further investigating the […]
Training error vs Test error
<p>This is a workflow designed to illustrate the difference between training error and test error. It compares three different models:</p><ol><li><p>A […]
second_assignment_v999
<p>Campaign organizers for different parties in Norway are interested in identifying individual undecided voters who would consider voting for their party […]
Gen AI Monitoring
URL: Data app documentation https://docs.knime.com/latest/business_hub_admin_workflows_guide/index.html?src=workflow-description#gen_ai_monitoring
Python Graphics - Linechart with Date Variables on x Axis - interactive Data App to rotate the axis
URL: seaborn-data https://github.com/mwaskom/seaborn-data URL: Hub: more Python Graphics with KNIME […]
Model selection with validation, cross validation and regularization. Polynomial regression
<p>This workflow is designed to illustrate the process of model selection. The considered models are polynomials of degree 1 to 10.</p><p>It is shown that […]
02. Karte, Basisvisualisierungen Balkendiagramme diverse Faktoren x Preis und Preis_SQF
Exercise 1 for KNIME User Training - Import data from three different file formats (table, csv, xls) - Import data from SQLite database