No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Predicting Data and Validating Accuracy

The video tutorial guides viewers through the process of making predictions using a test data set for an SMS spam detection project. It covers selecting the test data, generating predictions, and analyzing the results. The model achieves a 95% accuracy rate without requiring any coding. The tutorial concludes with a brief overview of the project's success and hints at future projects.

What is the significance of being able to download the predictions as a CSV?

What types of messages does the model classify?