This article will cover the following.
- Prerequisites
- Implementation – Create and execute an experiment in the Azure Machine Learning portal
Prerequisites
- Read the following article to create an Azure account and for some basic information about Azure to get started.
- Getting started with Microsoft Azure Machine Learning - Part One
Implementation – Create and execute an experiment in the Azure Machine Learning portal
Steps to be followed,
- Open Azure Machine Learning portal and click on the Experiments tab.
- Click on the “Add” button and choose experiments. Then, add a blank experiment.
- Go to the Experiments section and put the saved datasets into that.
- Drag and drop the saved database into one of the sections.
- Go to the “Data Transformation” section and then select “Manipulation” from that, and then “Select columns in DataSet”.
- Connect the train.csv module with the “select columns in data-set”
- Then, click on the “Launch column selector” and select a few columns only from left to right side.
- Click on the “Run” the experiment and then see the “green” tick sign.
- Then, right click on the second step and click on the Visualize and see the selected columns of data only.
Please find the attached train.csv for reference, happy learning!
Join the conversation! Your thoughts help the community grow.