Course curriculum

    1. Overview

    2. Prerequisites

    3. Project Overview

    4. Identifying a Classification scenario

    5. Classification examples

    6. Navigate to Azure ML

    7. Upload Dataset

    8. Create Dataset

    9. Start Computing Instance

    10. Create new Pipeline

    11. Discuss about workspace

    12. Select Input

    13. Select Columns

    14. Normalize Data

    15. Split Data

    1. Train Model

    2. Score Model

    3. Evaluate Model

    4. Review Results

    5. Analyze Results in detail

    6. ROC curve

    7. Area of Improvements

    8. Create Inference Pipeline

    9. Inference Pipeline Modifications

    10. Submit and Run Inference Pipeline

    11. Deploy Model

    12. Web Service Settings

    13. Test on New Data

    14. Cleanup resources

    15. Summary

    16. Congratulations on completing this course!

About this course

  • $295.00
  • 31 lessons
  • 1.5 hours of video content