Thank you for watching this tutorial. I hope it was really for you and can be applied to your real Data Science project. Drop a comment about your success and experience by completing this tutorial. If you liked it, please subscribe the channel to get more fresh content! Thanks.
hello! I tried the steps , when I run inference I get error like FileNotFoundError: [Errno 2] No such file or directory: '/Users/LRENC/Desktop/Kubernetes/code/test.csv'. What could be the resaon?
This really helped Big time Although asking a Data Scientist or Analyst to do this is too much they need to have a separate team to work with docker solutions or convert them to images via docker. Do you have a similar video on how to do this on Windows.
This is awesome!! One QQ.. how do we access a file within the container? For example, If someone else gave me this docker build and If I want to access test.py, how do I do that?
Thank you for watching this tutorial. I hope it was really for you and can be applied to your real Data Science project.
Drop a comment about your success and experience by completing this tutorial.
If you liked it, please subscribe the channel to get more fresh content! Thanks.
Can you make a end to end project which implements MLOps with Github Actions, mlflow, airflow
@@pravinkumar54 Hi! Yes, that's a good topic and I will write it on my to-do list. Thanks!
Hi there, do you have a tutorial on deploying a ML training algorithm, and then the models with Docker into AWS Sagemaker
Do you have it in Git?
hello! I tried the steps , when I run inference I get error like FileNotFoundError: [Errno 2] No such file or directory: '/Users/LRENC/Desktop/Kubernetes/code/test.csv'. What could be the resaon?
Thank you for creating the video, it really helped
Glad it helped, thank you for watching! :)
excellent video, thank you !
Thanks for feedback, appreciate! :)
But real-time work is different. Need docker compose with machine learning example. Please do one such tutorial
Why this channel is underrated? :(
Good question. I don't have any marketing on it, no ads, just organic traffic and Facebook groups...
This is gold. Thanks!
Thanks for watching, glad it helped! :)
Thank you for this
This really helped Big time Although asking a Data Scientist or Analyst to do this is too much they need to have a separate team to work with docker solutions or convert them to images via docker.
Do you have a similar video on how to do this on Windows.
This is awesome!! One QQ.. how do we access a file within the container? For example, If someone else gave me this docker build and If I want to access test.py, how do I do that?
You have do interctive terminal with docker with ubuntu as base image