Data Science 101: Deploying your Machine Learning Model

So you have built your machine learning model, so now what? In this video, I will share to you 4 approaches that you can use for deploying your machine learning model. I also share how I deploy my machine learning models in my own research work.

⭕ Timeline
1:08 Obtaining the final machine learning model
1:25 Deploying the machine learning (ML) model
1:37 ML model as a data product
1:47 Four approaches to ML model deployment
1:52 Deployment format to use depends on the use case
2:30 Save ML model as objects
2:41 In Python, we can save as a pickle object
2:44 In R, we can save as a RDS object
3:01 Transfer ML-derived rules to a custom function, then apply this to make prediction
3:28 Create API to receive input and make prediction
3:59 Embed ML model inside a web application
4:04 In Python, popular web framework includes: Django, Flask and Dash
4:10 In R we have Dash and Shiny
4:21 Dash and Shiny are suitable for making data-driven dashboard

The idea for this video was suggested in a comment by seshendra vemuri

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[DataProfessor]

QUESTION OF THE DAY: How do you deploy your machine learning model? Or from the deployment approaches mentioned in this video, which approach do you like the best? Comments down below! 😃
💗Help support this YouTube channel by hitting the Subscribe button, Like button and type #dataprofessor in the Comments section 👇

[GiasoneP]

I just wanted to say thank you for your videos. Learning data science can sometimes be lonely. Your videos are inviting, clear, rich in information and extremely well made.

[brontomind]

This is very clear and informative. At BrontoMind we are using two of these approaches to save the no-code ML model

[vijaykumar-xklq]

Hi Professor, extraction of rules is possible for only decision tree algorithm? Or I can use it for any algorithm ?

[vaishnavibollaboina]

Hello where does spark come into play, I mean whn to use it and y ?

[samiagharib]

is it possible to deploy ml model as web service by google colab and flask ?

[VishalVerma-ytsu]

Hii, how can we deploy our Deep learning models into Hardwares ??

[tinanajafpour]

thank you for the video. really informative.

[jasjones]

Thank you for this video Data Professor. Do you have a video where you actually show the steps in order to deploy an ML model?

[dongilseo]

Thanks for sharing this video. Maybe it'd be a help for the watchers that Ainize is now providing ways to deploy AI models for free.

[hussamcheema]

What are docker and kubernetes? How can we deploy ML model on docker or kubernetes?

[orjihvy]

Be great to see an example of deployment to Google Cloud

[elraj]

Hi there, just came across your channel.. thank you for sharing.. wish you greater success~~

[sainathkamble]

Sir, is it necessary for a data scientist to learn deployment of ml models

[nik]

Can u explain in brief by performing the method u mentioned in above video???

[jakeb]

It may not be viable with FAANG companies, but there are still plenty of companies looking for qualified tech candidates

[MrBemnet]

I didn't choose feature of my son.

[spitfirelast]

Ok that's great and all.

But how do you deploy a ML into a website without using flask, django or dash? Basically what i'm asking is how do you deploy it from scratch withouth using any frameworks?