Course curriculum

    1. Overview

    2. Prerequisites

    3. Project Overview

    4. Identifying a Regression scenario

    5. Regression examples

    6. Navigate to Azure ML

    7. Create new Pipeline

    8. Use Sample Data

    9. Select Columns

    10. Clean Missing Data

    11. Normalize Data

    12. Split Data

    1. Train Model

    2. Score Model

    3. Evaluate Model

    4. Successful Pipeline run

    5. Review results

    6. Analyze Statistical Metrics

    7. More statistical metrics

    8. Try different Model

    9. Create Inference Pipeline

    10. Provide manual inputs

    11. Run Inference Pipeline

    12. Deploy Model

    13. Test new data

    14. Cleanup resources

    15. Summary

    16. Congratulations on completing this course!

About this course

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