Deploying Machine Learning Models - Full Guide

In this video, we learn how to deploy machine learning models to an actual server using Flask.
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[@justmartinmartin]

Possible Google Cloud deployment tutorial?

[@saffanalvy]

Dear Flori. Thanks for making such awesome videos. Been a fan and a student for quite some time, I guess. I have a request to make. Btw, if you could make this video then I think it would be a culmination of the entire Flask series to build a full-fledged app. Earlier you made a video of Flask app associating with postgress db. What if there's redis caching involved in that project? So a Flask app that will go through the redis cache and if it is not available there then it'll fetch data from postgress db to the redis and then display in the browser. What if here redis has a separate docker container, postgress in separate container, the postgress container used volume and the Flask app was running in 3 different containers and at the top, nginx container just to do a Round-Robin load balancing among 3 Flask containers. If this looks like a good idea to make a video about then can you make one? It would be really helpful. The Flask app could be about displaying 5 names of 5 fruits, just a simple read operation. I just want to see the professional level of devops here. Again, thanks a lot.

[@cvicracer]

Awesome

[@dipeshsamrawat7957]

Thank you.

[@ttowe]

cool video

[@philtoa334]

Thx_.

[@theangelofspace155]

I thought fastAPI was preffered over flask.

[@cyberhard]

The preference is the programmer's.

[@chmanoj6812]

Can you teach Django framework?

[@ernestohysa9818]

Let's see;; this is interesting.

[@ezx931]

First