> For the complete documentation index, see [llms.txt](https://fluid-ai.gitbook.io/fluid-ai-frontier/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://fluid-ai.gitbook.io/fluid-ai-frontier/processing-and-pipelines/individual-pipelines/train-an-ml-model.md).

# Train an ML Model

{% embed url="<https://www.youtube.com/watch?v=h3vElU2nRRQ>" %}
Quick tutorial on TrainML model
{% endembed %}

### Steps to follow

1. From the `Processing & Pipelines` module select `Build Pipelines` section.
2. Click  the `Train an ML Model` button, a popup appears.
3. Select the `Network Type` from the drop down which has the option of Machine Learning or Deep Neural Networks. Select the required particular model you need.
4. Select the `Input Data Set` from the drop down and select the required columns to be used for the model in the right pane area.
5. Select the Target Column from the drop down and the check the type of problem that have been automatically decided based on the target.
6. Click the `Configure` button to save the pipeline.