Course curriculum

    1. Overview

    2. Prerequisites

    3. Project Overview

    4. Identifying Clustering scenario

    5. Steps for Clustering

    6. Clustering examples

    7. Navigate to Azure ML

    8. Import Dataset

    9. Create Data asset

    10. Create new Pipeline

    11. Select Columns

    12. Cleaning Data

    13. Normalizing Data

    14. Split Data

    1. Train Model

    2. Few parameter customization

    3. Assign Data to Clusters

    4. Evaluate Model

    5. Successful Pipeline run

    6. Review results

    7. More statistical metrics

    8. Create Inference Pipeline

    9. Inference Pipeline Modifications

    10. Deploy Model

    11. Test on New Data

    12. Summary

    13. Congratulations on completing this course!

About this course

  • $295.00
  • 27 lessons
  • 1 hour of video content