Overview
Prerequisites
Project Overview
Identifying a Regression scenario
Regression examples
Navigate to Azure ML
Create new Pipeline
Use Sample Data
Select Columns
Clean Missing Data
Normalize Data
Split Data
Train Model
Score Model
Evaluate Model
Successful Pipeline run
Review results
Analyze Statistical Metrics
More statistical metrics
Try different Model
Create Inference Pipeline
Inference Pipeline Modifications
Submit and Run Inference Pipeline
Deploy Model
Web Service Settings
Test on New Data
Cleanup resources
Summary
Congratulations on completing this course!
