Amazon SageMaker CANVAS Tutorial, Getting Started | Introduction to AWS Machine Learning, No Coding!

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/15hj5... Blog with background on the churn dataset (link to churn.txt not working as of December 2021): https://aws.amazon.com/blogs/machine-... SageMaker Canvas Developer Guide: https://docs.aws.amazon.com/sagemaker... 🌟🌟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/af... AWS Certified Solutions Architect Associate: https://academy.zerotomastery.io/a/af... You might also enjoy these other AWS videos: • SageMaker Studio LAB:    • Amazon SageMaker Studio LAB Tutorial, Gett...   • SageMaker Studio:    • Amazon SageMaker STUDIO, Getting Started |...   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