The hands-on lab is part of this learning path
Introduction to Machine Learning on AWS
Ready for the real environment experience?
Amazon Machine Learning provides an easy-to-use interface for creating certain types of machine learning models. This Lab uses Amazon Machine Learning to create a regression model. Regression models predict a continuous variable, as opposed to a set of classes that are predicted by classification models. You will use US Department of Transportation flight data to forecast flight delays with the Amazon Machine Learning regression model. You will create two models using custom model recipes: one that can be used for long-term forecasting and one for near-term forecasting.
Upon completion of this Lab you will be able to:
- Create and analyze the performance of regression models in Amazon Machine Learning
- Define custom schemas and recipes for Amazon Machine Learning datasources and models
- Make real-time predictions with Amazon Machine Learning models
You should be familiar with:
- Basic S3 concepts
- Some knowledge of machine learning concepts is beneficial, but not required
Before completing the Lab instructions, the environment will look as follows:
After completing the Lab instructions, the environment should look similar to:
About the Author
Logan has been involved in software development and research for over eleven years, including six years in the cloud. He is an AWS Certified DevOps Engineer - Professional, MCSE: Cloud Platform and Infrastructure, Google Cloud Certified Associate Cloud Engineer, and Certified Kubernetes Administrator (CKA). He earned his Ph.D. studying design automation and enjoys all things tech.