Tutorial 3-Build,Train, Deploy Machine Learning Model In AWS SageMaker- Creating S3 Buckets

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Hi Krish,
Nice explanation. One small addition for creating the bucket which always works will be using the below command
s3.create_bucket(Bucket=bucket-name, CreateBucketConfiguration={
'LocationConstraint': region-name})
Without specifying the region constraint sometimes I have faced failures in creating bucket.

venkateshsadagopan

Love you sir for providing such a quality content. I know many academy are charging heavily without even 1 percent of the content what you are providing in youtube

karth

Nice exolanation. Keep up the good work

anandhasrivi

's3_input' class will be renamed to 'TrainingInput' in SageMaker Python SDK v2.

suhasshirbavikar

5:48
While naming the S3 bucket please take care of these steps
If this error came add the following line in the s3.create_bucket()
s3.create_bucket(Bucket=bucket_name, CreateBucketConfiguration={'LocationConstraint':'us-east-2'}) instead of 'us-east-2' please use your specified location

AshwinKachu

Very good tutorial and very helpful. Thank you Krish, you always deliver

basiletalla

S3 error An error occurred when calling the CreateBucket operation: The unspecified location constraint is incompatible for the region specific endpoint this request was sent to.

asrarafi

Code for region other than "us-east1-"

s3 = boto3.resource("s3")
try:
if my_region == "ap-south-1":
s3.create_bucket(Bucket = bucket_name, CreateBucketConfiguration =

print("Bucket Created")

except Exception as e:
print("S3 Error:", e)

harshwardhanwaghchoure

3 error: An error occurred when calling the CreateBucket operation: The unspecified location constraint is incompatible for the region specific endpoint this request was sent to.

baselmaarof

Thanks krish for the tutorial. helped me to create ML model in sagemaker

arulsebastian

can you make video about multiprocessing in python and how its work backend and whats there benefits

princepatel

Man, you are such an amazing guy, made things very clear and Thank you very much Krishna! /\, please if possible also make videos on Lambda, Redshift, RDS and

manideepgupta

can you please make a video to fetch data from the MySQL database using this was services?

maYYidtS

Just curious to know @Krish.. on an average how many hours do you spend in front of your laptop?

arjundev

Hi, I really appreciate your way of helping people like me. Thanks for this Sagemaker video series. While creating instance I am facing issue like S3 error: An error occurred when calling the CreateBucket operation: The unspecified location constraint is incompatible for the region specific endpoint this request was sent to. my_region is 'us-east-2'. Thanks in advance.

pz

I'm not able to see the S3 bucket created from s3.create_bucket(Bucket=bucket_name, 'ap-south-1'}) in the S3 console. Any one faced this? I logged in as root user

janmajayadhikari

Very good tutorial sir.
is it required to be very good in aws sagemaker for datascientist,
does datascientist need to deploy all the models through sagemaker?

chetanmundhe

Parameter image_name will be renamed to image_uri in SageMaker Python SDK v2.

suhasshirbavikar

Seems like us-east-1 is a default. If your region is different you have to consider constraints. I dont know how to do that. It seems way more complicated..

JannickBayar

Sir, how is storing data in s3 bucket different from uploading the dataset directly to the instance.

kaushikdayalan

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