Your First Sematic Project: From Setup to Execution
Last updated November 15, 2023
Introduction:
Embarking on your first project with Sematic is an exciting step towards efficient ML model development. This article provides a straightforward guide to setting up and executing your first project in Sematic.
Steps:
- Create a New Project: Open Sematic and select 'New Project'. Give your project a name and a brief description.
- Define Your Pipeline: Utilize Python to define the tasks and dependencies in your pipeline.
- Execute the Pipeline: Run your pipeline by clicking the 'Execute' button and monitor the progress in the dashboard.
- Review Outputs: Once the pipeline execution is complete, review the outputs and logs to ensure everything ran as expected.
- Iterate and Improve: Make adjustments to your pipeline as needed and rerun to refine your model.
Conclusion:
You've just completed your first project in Sematic! With these foundational steps, you're well on your way to mastering ML pipeline development.
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