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A Data Engineer approach to managing an ML project

4 years ago towardsdatascience.com
A Data Engineer approach to managing an ML project

Summary: This is a summary of an article originally published by the source. Read the full original article here →

ecently, Laurence Moroneyadvised professionals to showcase your skills by initiating a project on GitHub covering the relevant aspects of your portfolio and let your professional network know you through work. I am writing this post to motivate others and also to build my own portfolio.

Below is the link to my GitHub project.

The release has been prepared on GitHub and using GitHub actions workflow, I have deployed the package to https://pypi.org/.

In this post, I wrote an overview of the data engineering/science project covering the model building and DevOps tools needed for a project.

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