# Deploy machine learning model

**URL:** <https://forum.knime.com/t/deploy-machine-learning-model/47221>\
**Category:** KNIME Analytics Platform\
**Created:** [September 18, 2022, 1:38am UTC](https://forum.knime.com/t/deploy-machine-learning-model/47221 "2022-09-18T01:38:20Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![mlauber71](https://forum-cdn.knime.com/user_avatar/forum.knime.com/mlauber71/32/73590_2.png) [@mlauber71](https://forum.knime.com/u/mlauber71)\
**Post date:** [September 18, 2022, 2:58pm UTC](https://forum.knime.com/t/deploy-machine-learning-model/47221/2 "2022-09-18T14:58:28Z")

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@Chong you might want to take a look at this basic example

> **[Decision Tree with all its exports – mlauber71](https://hub.knime.com/mlauber71/spaces/Public/kn_example_decision_tree~GbK8kmsRLtwvSKl9/current-state)**
>
> A simple decision tree with all the possibilities to store the results (as PMML or Ruleset or SQL Code) and evaluation (ROC curve)

Then you might want to take some courses about machine learning and knime

> [@exam based Kaggle case study](https://forum.knime.com/t/exam-based-kaggle-case-study/42740/2):
>
> @Everfresh000 welcome to the KNIME forum. As a basic remark: since this is an exam the topics should be covered in the course. But anyway… If you want to start about [learning KNIME](https://kni.me/w/0N7ZMol_O-kOUHox) and machine-learning I would recommend to take these two courses on the KNIME Learning platform [https://knime.learnupon.com/](https://knime.learnupon.com/). [L1-DS] KNIME Analytics Platform for Data Scientists: Basics [L2-DS] KNIME Analytics Platform for Data Scientists: Advanced (Examples and workflows for courses are provided here: [knime/Educ…](https://hub.knime.com/knime/spaces/Education/latest/Courses~dbcwlK6J40Hvuag6/)

> **[KNIME Learning Center | KNIME](https://www.knime.com/learning)**
>
> Validate your knowledge and skills with the KNIME Certification Program. Complete the certification for your chosen learning path, and become a KNIME-certified data analyst, data engineer, or data scientist.

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