Docker Tutorial 3-Deploying Machine Learning Models Using Flask And Flasgger

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Docker is a set of platform as a service products that uses OS-level virtualization to deliver software in packages called containers. Containers are isolated from one another and bundle their own software, libraries and configuration files; they can communicate with each other through well-defined channels

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You are doing one of the finest work on this field with ML and Docker.

anukoolsrivastava
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Hello Krish, I am an Indonesian. Just want to thanks for all your hard work and your dedication. It is like finding a hidden germs. It is absolutely incredible and great jobs. Hat's off..

hagiridhoraras
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some people are looking for Netflix web series...but we are looking for your new videos/new concepts from you.


Thanks ton :-)

ramanjaneyuluthanniru
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You are the greatest teacher I've ever encountered.I've learnt a lot from you sir.May you live longer and keep sharing your immense knowledge in a lucid manner.😊

parthagarwal
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Best thing happened when I came to know about swagger, wonderful series Krishna

koushik
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Hey Krish I am fan of your teaching style.
thanks for this tutorial

AshutoshKumar-cjvj
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I saw the series, it's really nice, Now a days I'm aslo working on same deploy ML model on Docker ( I'm working on Scrapy + Airflow) so it's really helpful for me,
Thank you.

chetanborse
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Krish, I can say only on word you are great

ygshkmr
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Thank you sir. You are helping an android dev like me by making me exploring these awesome APIs

savin
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Thank you for wonderfull explanation Krish

ajaykumar-elvo
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Superb video with model deployment for beginners.Thanks

sandipansarkar
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Sir I can't wait for your next video
Please upload it quickly. This playlist is so amazing!!.
You are great Sir

fahadpatel
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Really amazing topics and excellent teaching. Thanks a lot

shreyasb.s
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What’s in incredible video, I just want to be your student !

quickpresent
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Thank you Krish for this amazing tutorial !!!

mlguru
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Hi Sir...please explain ML fire base kit or a way in which these project can be deployed into an app and used in mobile as well

damodharratnamthappeta
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instead of using flasgger we can use fastapi to create api and as well as UI for testing

prasannakumar
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Hii Sir, after running the whole code the swagger api is not showing the UI, showing "Internal Server Error", in the Console it's showing "No module named 'jinja2.ext'. how to resolve this?

suspense_shorts
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Thank sir :)) It's easy to follow

phungtruong
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I got the error while entering my input parameters on another model:
'numpy.ndarray' object has no attribute 'predict'
can you tell me the reason?

sarat.