AWS Tutorials - Using Machine Learning with Amazon Redshift

Amazon Redshift ML facilitates to create, train, and apply machine learning models using SQL commands in Amazon Redshift. Redshift ML takes advantage of Amazon SageMaker for the machine learning. Redshift ML provides simple, optimized, and secure integration between Redshift and Amazon SageMaker. Redshift ML makes the model available as a SQL function within the Redshift data warehouse to enable prediction query in the SQL statements and reports.

[eddiepalomino]

I love you so much !!! YOUR VIDEOS ARE GREAT !!

[azizjivani]

How does it train and make a prediction about quality without any test data that contains the quality data as well. where does it learn about quality if not from test data?

[melanie]

Hi, thanks for the demo! I have one question, should we prepare the data beofre creating model ? I mean transforme all non numeric column to numeric so that the model can predict better? Is there any script in sql commande to do so?

[marvinkennel]

How do you get the correlation regarding the target column with the Model?

[azizjivani]

How do I provide Permission to both services
AmazonS3FullAccess + AmazonSageMakerFullAccess, once I click on create Role, I am able to choose only either S3 or AmazonSageMakerFullAccess.

[keshavamugulursrinivasiyen]

Good one. but am not able to download the train and test data csv samples in the provided link. can you please help?