No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Adding Train and Test Data

The video tutorial introduces a project using Amazon AWS SageMaker Canvas, focusing on an SMS spam collection dataset sourced from Kaggle. It explains how to import the dataset into SageMaker, detailing the steps to access and import data from an S3 bucket. The tutorial provides an overview of the train and test datasets, highlighting their sizes. Finally, it sets the stage for the next steps in the modeling process.

What type of data set is being used in the project?

Describe the process of adding data to the project.

How many rows are there in the train data set?

What is the significance of the test data set in this project?

What is the purpose of the modeling step mentioned in the text?