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Azure ML Workshop - Student materials

This repository hosts student materials utilized during a one day Azure Machine Learning workshop delivered at Silicon Valley Microsoft Technology Center.

This workshop is usually delivered on the second day of the two day IoT course. It can also be delivered as a standalone one day workshop.

During the workshop, the attendees are guided through an end-to-end data science workflow using a predictive maintenance business problem as a context.

Workshop agenda

Morning session

  • Introduction to Machine Learning Concepts
  • Azure Machine Learning Overview and Walkthrough

Afteroon Session

  • Hands-on labs (instructor led)
    • Exercise 1 - Exploratory Data Analysis
    • Exercise 2 - Feature Engineering
    • Exercise 3 - Model Selection - Training, Evaluation, and Tuning
    • Exercise 4 - Model Operationalization

Contributing

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.

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