Overview
Prerequisites
Project Overview
Identifying a Classification scenario
Classification examples
Navigate to Azure ML
Choose source for Dataset
Review Settings and Schema
Create Data asset
Start Computing Instance
Create new Pipeline
Discuss about workspace
Select Input
Select Columns
Normalize Data
Split Data
Train Model
Score Model
Evaluate Model
Review Results
Analyze Results in detail
ROC curve
Area of Improvements
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!
