Hello everyone and welcome to this new hands-on project on Machine Learning Regression with Amazon Web Services (AWS) AutoGluon.
Solving ML Regression Problems with AWS AutoGluon
Solving ML Regression Problems with AWS AutoGluon
Instructor: Ryan Ahmed
Access provided by American University of Technology
Learn, practice, and apply job-ready skills with expert guidance
Beginner level
Recommended experience
2 hours
Learn at your own pace
Hands-on learning
What you'll learn
Leverage AWS AutoGluon to prototype several machine learning regression algorithm
Evaluate several trained regression models performance by visualizing a model leaderboard
Understand various AWS AutoGluon presets
Skills you'll practice
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
No downloads or installation required
Only available on desktop
See how employees at top companies are mastering in-demand skills
Learn, practice, and apply job-ready skills in less than 2 hours
- Receive training from industry experts
- Gain hands-on experience solving real-world job tasks
- Build confidence using the latest tools and technologies
About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Understand the Business Case
Practice Opportunity #1 [Optional]
Calculate Data Statistical Summary
Perform Data Visualization
Practice Opportunity #2 [Optional]
Understand AWS AutoGluon Fundamentals
Train Regression Models Using AWS AutoGluon
Evaluate Trained Model Performance
Final Capstone Project
Recommended experience
Basic Python Programming and Machine Learning
10 project images
Instructor
Offered by
How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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