Course Outline


Azure Machine Learning Overview

  • What is Azure Machine Learning?
  • Azure Machine learning features
  • Azure Machine Learning architecture

Preparing the Machine Learning Operations Environment

  • Setting up Azure Machine Learning lab environment

Data Processing

  • Importing and unzipping data and datasets
  • Transforming and cleaning data
  • Separating training data and test data

Classifications and Regressions

  • Creating binary and multi-binary models
  • Working with regression models
  • Tuning hyperparameters and parameters
  • Implementing predictive and impact analysis
  • Building decision trees and decision forests


  • Implementing cluster analysis


  • Featuring and labeling data
  • Using text analysis

Recommender Systems

  • Working with Matchbox Recommender models


  • Creating, exposing, and consuming machine learning model web services

Summary and Conclusion


  • Experience with the Azure cloud platform


  • Data Scientists
  14 Hours


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