Cloud Data Science: Transforming Data in Azure Machine Learning Studio


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level


Overview/Description

Examine features. rows, columns, and how to merge datasets while you discover how to transform your data in Azure Machine Learning Studio.



Expected Duration (hours)
1.0

Lesson Objectives

Cloud Data Science: Transforming Data in Azure Machine Learning Studio

  • use the Join Data module in Azure Machine Learning Studio to merge two datasets
  • use the Add Columns module in Azure Machine Learning Studio to concatenate datasets
  • use the Add Rows module in Azure Machine Learning Studio to concatenate datasets
  • use the Select Columns in Dataset module in Azure Machine Learning Studio to choose a subset of columns within your dataset
  • use the Edit Metadata module in Azure Machine Learning Studio to change the metadata in a dataset
  • use the Convert to Indicator Values module in Azure Machine Learning Studio to convert into binary indicator columns
  • create features from your data in Azure Machine Learning Studio
  • add feature selection to your experiment in Azure Machine Learning Studio
  • use the Principal Component Analysis module in Azure Machine Learning Studio to reduce the dimensionality of your data
  • transform data using Azure Machine Learning Studio

    • Course Number:
    it_dfpdsm_07_enus

    Expertise Level
    Expert