It is no secret that Data Scientists spend a very large proportion of their time preparing data. In this course, Feature Selection and Extraction in Microsoft Azure, you’ll gain the ability to prepare your data for use in your machine learning models. First, you’ll learn how to extract features from raw data, including non-text formats. Next, you’ll discover how to normalize features, converting your data to a common scale without distorting your data. Finally, you’ll explore how to select those features that are more relevant to your model. When you’re finished with this course, you’ll have the skills and knowledge of feature extraction, normalization, and selection needed to prepare your data. Software required: Azure ML Studio classic.
Author Name: Xavier Morera
Author Description:
Xavier Morera is driven by one passion: taking on the challenge of understanding complex topics and sharing that knowledge with others. He’s currently focused on the transformative fields of AI, machine learning, generative AI, search, and big data. As an entrepreneur, project manager, technical author, and trainer, Xavier brings a diverse set of skills and deep expertise to every project he takes on. He holds multiple certifications with Cloudera, Microsoft, and the Scrum Alliance and has been… more

Table of Contents

• Course Overview
  1min
• Exploring Your Dataset for Feature Selection and Extraction
  18mins
• Performing Feature Extraction
  23mins
• Performing Feature Normalization
  20mins
• Performing Feature Selection
  22mins
• Final Takeaway
  1min