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A Cloud Guru

Exploring AML Designer Transforms: Add Columns

A large amount of time for machine learning tasks is spent understanding the data and getting it into the proper configuration to train the model. This is the Data Wrangling, Exploration, and Cleaning phase of the machine learning lifecycle. In Azure Machine Learning Designer, many common data changing operations are provided as transform modules. In this lab, you will explore the `Add Columns` module to gain a deeper understanding of the tools at your disposal.

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Path Info

Level

Advanced

Duration

30m

Published

Sep 24, 2020

Challenge

Set Up the Workspace

Log in and go to the Azure Machine Learning Studio workspace provided in the lab.

Create a Training Cluster of D2 instances.

Create a new blank Pipeline in the Azure Machine Learning Studio Designer.
Challenge

Explore Add Columns

Add CRM Dataset Shared and CRM Upselling Labels Shared dataset nodes to the canvas. Visualize each node to see the raw dataset. Take note of the row and column counts.

These two datasets are the same size, and already ordered. Use an Add Columns node to combine these into a single dataset.

Submit the Pipeline to perform the transformation.
Challenge

Visualize the Transformed Data

When the pipeline finishes, inspect the output of the Add Columns node. How many rows and columns are now present in the dataset?

Author

A Cloud Guru

The Cloud Content team comprises subject matter experts hyper focused on services offered by the leading cloud vendors (AWS, GCP, and Azure), as well as cloud-related technologies such as Linux and DevOps. The team is thrilled to share their knowledge to help you build modern tech solutions from the ground up, secure and optimize your environments, and so much more!

What's a lab?

Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.