End To End Machine Learning Project Implementation Using AWS Sagemaker

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In this video we will be implementing an end-to-end machine learning project using AWS SageMaker! In this video, we will walk you through the entire process, from data preprocessing to model deployment, using the powerful tools and services provided by Amazon Web Services.

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This video was for some one already know Segemaker, by the way in general he is very trainer, there are many other great video from him.

ElliGol-sulz

This guy can easily replace 50% of machine learning faculty in all Universities across the world.

yogendrashinde

Krish sir, First of all thank you for your valuable knowledge sharing! I hope you will continuously create such informative end to end videos which is very helpful for crack any ML or MLOps interviews one more thing if possible kindly make one video on one END TO END Machin Learning Deployment Project on "Credit Card Fraud Detection" dataset using AWS Sagemaker, MLFLOW tool, S3, Elastic Beanstalk, Rest API, AWS Lambda...it will really very helpful... waiting for this

vipulwarthe

Great tutorial, work till the end. Please provide the tutorial to use the endpoint and display it to other website using API or other methods. Thanks!

mdaffad

You are the BEST Krish. Kudos for your contribution for technology learners!

appachi

Please deploy Computer Vision Deep Learning project using different methods as well

sharmakartikeya

its just a recommendation from my side that first of all explain all the steps like training testing and prediction then start the taturial, because till the end you were just training the model, i had no clue how we are going to do pridiction.

CodeWithMuhammadAhsan

Great video! Is there a Part 2 video building an end-to-end project for the notebook discussed in this video?

devicaverma

Usefull, if you can show how to incorporate sklearn pipeline (preprocessing steps) in the model like the way be we include as estimator, that will be of more help. Hoping to see that part. Thanks

akshathreddy

Great video. Minor point on the role. You showed the user but the role is different to the user. The role is what sagemaker will run on. Perhaps you can make a point of that in an edit? I might be wrong

fernando-nrjr

Thank you sir that one of the best video i got over the internet for sagemaker.

niluthonte

You deserve 5Million subscribers.This channel is Gold.

dantedt

Sir, you made video on kaggle competition problem i.e advanced house price prediction, in that part you done upto feature selection, could you please finish it off with model building and deployment. So that it can be end to end ml project.

Balaram-hjot

Hi Krish,

Excellent video and great effort.

Some requests, you use lot of 'do not worry about it as its from AWS documentation', even when its from documentation we should understand what it does, right ? It will be great if you can explain it(it will extend the video but its a tutorial so people will watch). Also many times when you say 'this is doing'.. 'it copies there' unfortunately it's not clear exactly where ? For example the tar directory is created automatically by sagemaker or you wrote some code for that ? It was not clear.

dafliwalefromiim

Thanks a lot for making videos all of your videos are really helpful. But please also explain how to do on macs too that will help beginners

aabhi

hello sir... r u gona make any tutorials playlist for LLM .... if not plz make it

planbislive

Hi Krish! Can you link the part 2 that you mention in this video? I can't find it...

redsunflowerbeach

A small correction - ARN has to be copied from the IAM Roles not Users.

bakshivishal

I can probably watch this and probably try this and probably it will work. Probably I will get a job. Probably I will learn more

audioplatform

Great video on AWS Sagemaker, it is a life saver since many job positions are requesting Sagemaker skill.

How about doing a deployment project on Google Cloud instead of AWS next?

RamonX

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