Machine Learning Model Using AWS SageMaker Canvas Overview
The Machine Learning Model Using AWS SageMaker Canvas course provides a comprehensive introduction to building and deploying machine learning models using AWS SageMaker Canvas. Participants will explore the fundamentals of machine learning, gain an understanding of AWS services, and delve into the SageMaker Canvas interface. The course features hands-on projects, including banknote authentication, spam SMS detection, customer churn prediction, and wine quality prediction, to provide practical experience in model creation and evaluation. By the end of this course, learners will have a solid foundation in using SageMaker Canvas for real-world applications and be prepared for further exploration in the field of machine learning.
Learning Outcomes
Understand the fundamental concepts of machine learning.
Gain knowledge of AWS and its relevant services for machine learning.
Familiarise yourself with the AWS SageMaker Canvas interface.
Set up AWS SageMaker Canvas for machine learning projects.
Implement a banknote authentication model using SageMaker Canvas.
Develop a spam SMS detection model with SageMaker Canvas.
Create a customer churn prediction model using SageMaker Canvas.
Build a wine quality prediction model with SageMaker Canvas.
Explore and utilise additional features within SageMaker Canvas.
Apply best practices for deploying and managing machine learning models on AWS.
