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): https://drive.google.com/file/d/15hj5DF2k79AYqfIpkD63res40LkRGkR1/view?usp=sharing
Blog with background on the churn dataset (link to churn.txt not working as of December 2021): https://aws.amazon.com/blogs/machine-learning/predicting-customer-churn-with-amazon-machine-learning
SageMaker Canvas Developer Guide: https://docs.aws.amazon.com/sagemaker/latest/dg/canvas.html
??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: https://academy.zerotomastery.io/a/aff_n20ghyn4/external?affcode=441520_lm7gzk-d
– AWS Certified Solutions Architect Associate: https://academy.zerotomastery.io/a/aff_464yrtnn/external?affcode=441520_lm7gzk-d
You might also enjoy these other AWS videos:
• SageMaker Studio LAB: https://youtu.be/ue7LuQtE6Pw
• SageMaker Studio: https://youtu.be/91z9s7iboeM
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
