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Machine Learning No-Code Approach: Using Azure ML Studio


Machine Learning No-Code Approach: Using Azure ML Studio A hands-on approach to Machine Learning using the easy drag-n-drop environment of Azure Machine Learning Studio
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What you'll learn
  • Examine the foundations of Supervised Machine Learning
  • Use Azure ML Studio to create Predictive Models without code
  • Evaluate different algorithms to find the one that works best
  • Deploy models live to be used with new data
  • Build a real estate model to predict house prices
  • Experiment with the traditional Titanic Dataset to predict survival chances

Requirements
  • Be able to work with computer files and folders
  • Be able to use a spreadsheet application like Microsoft Excel or Google Sheets
  • A free or paid subscription to Microsoft Azure
Description

Machine Learning is the most in demand technical skill in today's business environment. Most of the time though it is reserved for professionals that know how to code.

But Microsoft Azure Machine Learning Studio changed that. It brings a drag-n-drop easy to use environment to anyone’s fingertips. Microsoft is known for its easy-of-use tools and Azure ML Studio is no different.

However, as easy as Azure ML Studio is, if you don’t know Machine Learning, at least the basics, you won’t be able to do much with the tool. This is one of the goals of this course: To give you the foundational understanding about Machine Learning. You will get the base knowledge required to not only talk proficiently about ML, but also to put it into action and execute on business needs.

We will go through all the steps necessary to put together a Supervised Learning prediction model, whether you need Classification (for discrete values like “Approved” or “Nor Approved”) or Regression (for continuous values like “Salary” or “Price”).

The course will only require you to have basic knowledge of math including the basic operations and how to calculate average. Some exposure to Microsoft Excel would be good as during deployment of the live model, we will be using Excel to perform demonstrations.

This course has been designed keeping in mind technologists with no coding background as we use a “no-code approach”. It is very hands-on, and you will be able to develop your own models while learning. We will cover:

- Basics of the main three main types of Machine Learning Algorithms

- Supervised Learning in depth

- Classification by using the Titanic Dataset

- Understanding and selecting the features from the dataset

- Changing the metadata of features to work better with ML Algorithms



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