วีดีโอ

Thank you so much! This short but concise!

A silly question - why do you prefer pip rather than miniconda/mamba?

Thanks, I would to ask you, If i have a fine-tune trained model (with 20 GB size) then i follow the same steps in the video to make the api, and the docker steps, My question is what the best hosting provider to run the previous codes on the cloud? I need the previous pre training model not public (private), because it fine-tuning on sensitive company data. I hope you understand my question. Thanks 🙏❤

precise tutorial ever😍

with AI i guess this skill becomes more important to beat competition, thanks insightful

is it possible i do a deployment with model.RData in R instead of model.joblib

Thanks a ton! No BS or extra. To the point as it needs to be.

Thanks a lot! Now I understand the core concepts. If I understand correctly, in Azure AI/ML, once a model is deployed, it provides a URL for inference along with a Docker image. I guess this is what the cloud provider is doing in the background - wrapping the model (e.g., the .joblib file) into a REST API (using something like Flask) and deploying it as a container in a Kubernetes (K8s) cluster. I guess something is happening with AWS Sage Maker

Thank you, I really enjoy the code, but is it possible to use it when we simultaneously have missing data in features and labels(multilabel)?

Thanks!

I am getting an Aborted ! Error whenever i am using the docker --run command. Anyone knows whats going on ?

you look like klaus mikaelson from vampire diaries lol

lol i am working on creating a sort of analysis automation tool for my college project and this is exactly what i was looking for. Initially i was thinking about going with the iterativeimputer or knnimputer. Is your nanimputer is better than them? if thats the case then you are a fucking genius

Informative

After the setup of my terminal apple logo is turned into question mark and the folder image how to fix it can you please replay

Can we deploy for the code that is written in jypter notebook

Hi, I faced a problem importing tenzorflow after installing tensorflow-metal. Did anyone else face this as well?

Exceptional video! Thank you Danil! I watched tons of other videos and have no idea on how to deploy my ML model. Stumble on this one and now I'm able to do it.

really well done. thank you!!

very helpful thanks, But is it require to do hyperparameter tuning of lightgbm models?

thanks for letting people know, but can the camera on our phone be usable by the ****** tracking the data, to gather info=' like ' facial recognition && voice data location and finger prints data.

You look like a pornstar

Absolute mad lad

very helpful !!!!!!!!!!!

Sharp

Subscribed immediately. What a straight to point video. Thanks, man.

Thanks for the video and all the effort it took to produce it. It's easy to follow and nicely animated. 👍🏼 However, as of today I would rather use BentoML instead of FastAPI. It's even easier to set up an API and then publish a docker image.

This content is fire! I love the efficiency of information delivery, slow enough to understand every step and speedy enough not to waste time, with visual helpers to focus on the right visual information. I also love that you kept errors in the video, so that we learn the most common we might encounter and how to tackle them. Keep it up!

Дружище, давай на русском. Больше ведь будет просмотров

quick and clear... good job buddy

cheers mate thanks!

can i deploy my computer vision project using this method

Thanks for sharing this video. This is very informative.

❤

Mark my words,one day you will going to be a super star 🎉❤

Thanks, Danil ! This is exactly what I was looking for. Clear and concise tutorial,🙏

How to use the libraries in VS CODE after installation ?

Hi, First of all, your video provides very useful information, and I want to thank you for that. I have a question I would like to ask you. I am analyzing air pollution in a city in my country. For this purpose, I have created a dataset using air pollution data and meteorological data. I then organized these data into hourly intervals. However, I encountered a problem. My dataset contains null values. These null values appear consecutively in some parts of the dataset. For example, in the first 3000 rows, there are approximately 2500 null values for the NO2, NOX, and NO air pollutants, but in the remaining part of the dataset, there are very few null values. In addition, there are rows where data for all air pollutants are missing, but these rows cover a short period consecutively. I believe this might be due to workers turning off the devices after working hours on certain days. I have previously trained a few models to fill in these missing values, but I did not achieve good results. I would like to ask for your guidance. In these two cases, should I fill in the missing data or exclude them from the dataset? What would be the most accurate method to complete these missing values?

Great video! Can you make a video seting up R with vitual environments as well?

Brilliant

Thank you !

This is just wonderful and succinct. Thank you!

Great videos

Thanks a lot Danil.. You saved 4hrs of time. Its working for me :)

Can I do llama 8b fine tuned with this sir ?

👑🙌🙌

Great tutorial ❤

Thanks Sir

Thank you very much! I have the M2 Air and love it. I am starting to work on machine learning and was wondering, if the upgrade would make any sense. Your video answered that for me. Thank you for that!

thanks, im the sole SWE intern working on an AI/ML team, these vids help a lot