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add resource of #code_help Slack channel
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learners/reference.md

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* For questions after the workshop:
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- If you have questions about the analysis of the results or the statistics behind
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machine learning models, you can reach out to [PSTAT's DataLab](https://datascience.ucsb.edu/consulting)
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- For questions about your project or specific questions on your code, you can email
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the Library's DREAM Lab [[email protected]](mailto:[email protected])
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- For questions about your project or specific questions on your code, you can ask our Carpentry @ UCSB [#code_help](https://ucsbcarpentry.slack.com/archives/C01BUE6QKM5) Slack channel or email the Library's DREAM Lab [[email protected]](mailto:[email protected]).
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* Depending on the task of your project, you don't have to spend time training ML models from scratch!
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If your project involves text, images, or audio, you'll probably find a model ready to be used on

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