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Natural Language Processing with Metaflow Tutorial

In this series of episodes, you will learn how to build, train, test and deploy a machine learning model that performs text-classification. You will use Tensorflow, Scikit-learn and Metaflow to operationalize a machine learning product using best practices for evaluating and testing. Lastly, you will learn how you can use this model in downstream processes.

Prerequisites: We assume that you have taken the introductory tutorials or know the basics of Metaflow.

For help or feedback, please join Metaflow Slack. To suggest an article, you may open an issue on GitHub.

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