Building a Machine Learning API in 15 Minutes | Coding Challenge

What's happening guys, welcome to the first episode of CodeThat!

In this ep I try to build a machine learning API at freaking light speed using Python, FastAPI and Scikit-Learn AND DEPLOY it using Heroku. Hope y'all enjoy it.

Oh, and don't forget to connect with me!

Happy coding!
Nick

P.s. Let me know how you go and drop a comment if you need a hand!
#machinelearning #api #fastapi

[masteronepiece]

Without explaining and talking, and with zen mode on, you can finish it in 5 minutes. Great work as always.

[joelyk]

really enjoy your series, among all other AI and ML channels. Yours is direct to the point, hands on, transparent, and humble. Try it on spot and even there is errors or challenges, you face it together with your audiences. Huge fan here!

[anthonylwalker]

Was literally just putting writing APIs next on my learning list! Always right there when I need you!

[JonCookeBridge]

Fun to watch. Could you do a session on what dev tools you use. Postman? Visual Code? Basic nuts and bolts on how everything hangs together.

[nawfalourimech]

Discovered your channel last week and about to finish my first DL project ! Thank you so much, I have been trying to find good tutorials for roughly a year 😅

[juliansteden]

Awesome video!
Personally, I prefer slightly longer and more in-depth videos with more explanations. This speed-coding stresses me rather^^
Nevertheless, great what you get implemented in the short time!
Have a look at the VS-Code extension REST Client. I find it great for simple queries and you can stay completely in VS code which I find more comfortable as a viewer. Also, you have your queries right next to the source code which I sometimes find very attractive.

[maxime]

I prefer short video like this one. I'm a french student in IA, and it's very good to see how you work and what do you use. This is one of my most profitable subscription. Thanks !

[fizipcfx]

TIL pickle is a built-in module. This was intense. I hope you can make a lot of these.

[sushantgautam]

Love this master piece ❤️. Please make more.

[Jay-lokz]

That's hell of a rush, you did great 😃 (well badluck that you missed it by seconds)
So much of learning in one video Thanks nick

[FC-BS]

What a bummer, you were so close. The space through you off. Great work my man

[nickhill]

Phew..this was awesome. At the pickle step I was yelling "don't worry it's part of standard library!!"... Great job!

Edit: we moved over from flask to fast API last year...it is so much better wrt documenting ones api and browser based testing of the API by anyone. Thanks for sharing the knowledge.

[gianmarcoguarnier]

The hype was so up I expected a firewall to be hacked at some point. This fast format is gold

[pagla]

It was a wonderful thing that I didn't know for a long time I was posting such videos

[priyanshu]

great 😀, pretty excited in last comple of minutes .

[ling]

haha (6:44 left), nice idea, love to see live coding, with bug happening live, just like in real life. Thank you, subscribed. Just a space makes a difference, haha, made my day.

[MichaBurdzy-vbcg]

Thank you Nicholas, this is the best ML content I've seen, including paid courses on various platforms. What you do is really amazing, thank you!

[FDasdana]

Great content. I found the tension that occurs when the pickle is not loaded to be very similar to what I experience during project deadlines 😅😅. It is a video that perfectly summarizes not only the fastapi application but also the development process 😄

[abhisai]

love your content bro. thanks for sharing as ive been learning a lot from your videos.

[MMaquite]

i've always learn a lot thanks to your content