What’s taking place guys, welcome to the primary episode of CodeThat! On this ep I attempt to construct a machine studying API at freaking gentle …
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sir can we used same method to deploy deep learning model?
can you do automatic number plate recognition with dashboard analytics, alerts, etc.
Wow. That's a pretty intence video. I have a request, can you please solve CV and NLP problems like this. Without documentation and StackOverflow. We really need it.
HI, this was so helpfull.
could you please share the ML model code?
I made everything until 5:00, but what shall I do if my postman shows:
{
"detail": "Not Found"
}
Did someone already mentioned it's pronounce as G-Unicorn?
i really very veryyy love your content😍😭😭
I just started watching and the quality of the whole channel is crazy; amazing information but also great editing and video performance! Fun and interesting to watch
I love your content, Thank you. But I honestly don't understand why you have to time yourself and also neither use google nor StackOverflow. I guess this is more like your personal development platform than a channel for making educational content.
Bro learn rust so you can help us build cool s*** in rust like this, we would learn so much faster haha thank you!
Nice one! Thanks
Hello Nicholas, with the new release of ChatGPT I have a lot of interest in making something similar to it (as I'm sure many people do). I know it won't be nearly as intelligent as GPT but it could be tailored to a more specific task because you have full control over training data. Could you possibly make a video on token prediction?
That's amazing and wonderful! Your videos are insane and I really excited to try those but I'm beginner in python and ml. What should I learn after py and ml basics? I know basics of py and ml but I still don't know how can I go on this road.
great video !
Hi, Nico. Really nice video. Can you also give tutorial videos on deployment on mobile device such as andriod or ios? It would also be great if you create another video on deployment on windows machine? Basically, deployment on non-cloud platforms
Awesome video man, this also helped me get the idea on how to use my model through api. Thanks for helping me in my project. I was watching any tutorials and was not getting them. I just randomly played your video and the requirement which I had was exactly fulfilled by you. Thanks again man! 👍
Love ypur work. Could you please do a video on how to segment hair in deep learning
For me u r the best
Hey which platform where should we use without any intro hw could we get u
02:34 Just have more simple variant "pip install fastapi[all]"(full pocket include uvicorn, pydantic)
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.
You actually did it in around 6 minutes only. Because you are supposed to code only not coding and explaining
Where can i get the data for the video??
So unfortunate to see an intelligent creator lose credibility by using the click bait, douche face thumbnails. FFS don’t be a lemming pretending like you’re improving ranking doing this pointless shit and be confident in your content delivering views, watch time and subs 😢
I'm not sure if I missed it but would love to see a video on how you created the ML model through scikit-learn that you used in this video, awesome stuff!
Fun to watch, I like short videos like this👍
What a bummer, you were so close. The space through you off. Great work my man
Красавчик! Жму руку! – )
Yo do another end of the spectrum I wanna see an hour using everything nobody else does
Hello, 🎉 great content! I would like to request a video on a solution for chatting on PDFs using an open-source model from Hugging Face that utilizes GPU and ensures data privacy.
When I use Tensorflow Js. cameraWithTensors with expo to create an object detection app, my camera keeps getting stuck everytime it makes a prediction, could you please explain why this is happening.
How to get .pkl file to test it from our end
I use Plotly Dash embedded inside Django.
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!
Pickle is part of standard libraries?
Pickle exists in Python 3.9+. No need to add it as a dependency.
pickle is not a module that has to be imported using pip, it comes with python's standard library, no need to pip install it, that's why it worked when you directly imported it, great video, full support, kindly so share the model, thanks a lot bro!
This video is as posted a year ago and so might not be monitored but when saving the model, are you saving the preprocessing steps as well for this to be successful? And was that facilitated by using a single pipeline for preprocessing and fitting?
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!