Released November 30, 2021! Amazon SageMaker Canvas is a visual, no-code machine learning solution by Amazon Web Services. It brings machine learning to the masses—no coding, no data science, no machine learning expertise required!
In this hands-on tutorial, I walk you through how to create a SageMaker Domain and launch the SageMaker Canvas app through the AWS Management Console. From there, I create a new model, importing data and then training the model. Finally, I use Canvas to make predictions using NEW data to figure out if customers will churn (leave) from a company.
The “churn.csv” file used in the demo (located on Google Drive): [ Ссылка ]
Blog with background on the churn dataset (link to churn.txt not working as of December 2021): [ Ссылка ]
SageMaker Canvas Developer Guide: [ Ссылка ]
🌟🌟If you’re interested in getting AWS certifications, check out these full courses. They include lots of hands-on demos, quizzes and full practice exams. Use FRIENDS10 for a 10% discount!
- AWS Certified Cloud Practitioner: [ Ссылка ]
- AWS Certified Solutions Architect Associate: [ Ссылка ]
You might also enjoy these other AWS videos:
• SageMaker Studio LAB: [ Ссылка ]
• SageMaker Studio: [ Ссылка ]
00:00 – Amazon SageMaker Canvas just released!
00:35 – What is SageMaker Canvas?
00:52 – Overviewing the dataset for Customer Churn
02:45 – Setting up a SageMaker Domain
03:59 – Launching the SageMaker Canvas app
04:37 – Machine Learning basics in a nutshell
05:34 – Creating a new model, importing data and building the model in SageMaker Canvas
09:36 – Running predictions with SageMaker Canvas
