Getting Started With Microsoft Azure Machine Learning - Part Two

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!