Overview
Prerequisites
Project Overview
Identifying Clustering scenario
Steps for Clustering
Clustering examples
Navigate to Azure ML
Import Dataset
Create Data asset
Create new Pipeline
Select Columns
Cleaning Data
Normalizing Data
Split Data
Train Model
Few parameter customization
Assign Data to Clusters
Evaluate Model
Successful Pipeline run
Review results
More statistical metrics
Create Inference Pipeline
Provide manual inputs
Run Inference Pipeline
Deploy Model
Test new data
Cleanup resources
Summary
Congratulations on completing this course!
