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Examples
Collection of general Examples with the new KNIME 5.x GUI
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- Public space1
Forum
This space contains workflows that have been created in response to questions from the forum. The folders indicates the year, in the name is the number of the forum entry kn_forum_<number of forum post>_<...> Most workflows would contain a link to the original discussions under "External Ressources" along with some additional links. More often than not it does make sense to explore these links on the subject. Before I set up this space (early 2021 and prior) I collected answers in my general space that you can also explore: https://hub.knime.com/mlauber71/spaces/Public/latest/forum~wU4xrjTtVszORbXj/ The /meta/ folder contains some overall useful components like Python environment configurations
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- Public space1
Graphics
A collection of KNIME workflows creating graphics. Especially Python (Matplotlib, Seaborn) and R/GGplot2 with the new KNIME 5.x GUI
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- Public space9
LLM_Space
Some KNIME workflows to test the use of LLMs (large language models). Also using local GPT4All models. Download the whole workflow group.. The GPt4All are optimized for KNIME 5.3+. The Ollama and CrewAI examples will also work with KNIME 4.7
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- Public space3
Machine_Learning
A collection of Machine Learning related workflows for binary, regression and multi-class prediction tasks. Also some data preparation techniques. You will find further examples in the main Space. Medium: KNIME — Machine Learning and Artificial Intelligence — A Collection https://medium.com/p/12e0f7d83b50 Medium: About Machine-Learning — How it Fails and Succeeds https://medium.com/p/9f3ab7cb9b00 Medium: Data preparation for Machine Learning with KNIME and the Python “vtreat” package https://medium.com/p/efcaf58fa783 See also this collection of articles about machine learning: https://hub.knime.com/-/spaces/-/latest/~--zu7353LMafrYQ_/
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- Public space1
Public
A large collection of KNIME workflows for version up to 4.7. In the /forum/ subfolder are some examples for questions from the forum from 2021 and before
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- Public space1
Topic_Modeling
Some exploration with KNIME's topic modeling capacities and verified components adapted from: Topic Modeling Space https://hub.knime.com/-/spaces/-/latest/~LHP4VTo-KWY99YYv/ more on verfified Components: https://www.knime.com/verified-components A very helpful list of verified components by Paolo Tamagnini https://www.linkedin.com/posts/paolo-tamagnini_knime-dataapps-linkedin-activity-7098304547944570882-sksG/?utm_source=share&utm_medium=member_desktop
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