More on Full Stack Data Science 👇 👉Series Playlist: ruclips.net/p/PLz-ep5RbHosWmAt-AMK0MBgh3GeSvbCmL 💻Example Code: github.com/ShawhinT/data-pipeline-example
Thanks for the great suggestion! In the meantime, I discuss how to do this with GCP here: towardsdatascience.com/how-to-deploy-ml-solutions-with-fastapi-docker-and-gcp-de1bb8bfc59a?sk=5048e53b3599a37a126379514328e2e3
More on Full Stack Data Science 👇
👉Series Playlist: ruclips.net/p/PLz-ep5RbHosWmAt-AMK0MBgh3GeSvbCmL
💻Example Code: github.com/ShawhinT/data-pipeline-example
This is type of content every beginner data scientist should watch.
This series is great.
Thanks, glad you enjoyed it :)
agree totally, any other similar useful sources?
Thanks so much for going the extra mile to address my question
Thanks for your question! I learned a lot in going that extra mile, so happy to do it.
Hope it's helpful :)
I read the Medium post first, but this is great! Thanks for sharing 🙌🏼
Remember that Python uses snake case for naming functions 😉
I always get the conventions messed up, but I suppose it should be easy to remember 🐍
welcome tab was really bugging me. thanks for closing :)
Please do a video of automatically deploy in aws (or any cloud) after the data pipelines is done
Thanks for the great suggestion! In the meantime, I discuss how to do this with GCP here: towardsdatascience.com/how-to-deploy-ml-solutions-with-fastapi-docker-and-gcp-de1bb8bfc59a?sk=5048e53b3599a37a126379514328e2e3
Now automate these processes!!
jk 😅 Awesome video