No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Set Up Data in S3 Buckets for Use in SageMaker

The video tutorial guides users through the process of setting up and using Amazon S3 buckets for data storage in SageMaker Canvas. It covers creating a new S3 bucket, uploading datasets, and preparing for machine learning without writing code.

What are the two methods mentioned for uploading data to Sage Maker Canvas?

• Local

• S3 buckets

• FTP

• Email

What is the first step to create an S3 bucket as described in the text?

• Choose a name

• Select a region

• Set permissions

• Upload files

What options can you customize when setting up an S3 bucket?

• Object ownership

• Public access

• Bucket versioning

• All of the above

Describe the process of uploading files to an S3 bucket.

What types of datasets were mentioned as being uploaded to the S3 bucket?