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Feature Selection for Machine Learning

Feature Selection for Machine Learning
best udemy course Feature Selection for Machine Learning
Feature Selection is the process where you automatically or manually select those features which contribute most to your prediction variable or output in which you are interested in. Having irrelevant features in your data can decrease the accuracy of the models and make your model learn based on irrelevant features. by Soledad Galli

What you'll learn
  • Understand different methods of feature selection
  • Implement different methods of feature selection
  • Reduce feature space in a dataset
  • Build simpler, faster and more reliable machine learning models
  • Analyse and understand the selected features
Description
Learn how to select features and build simpler, faster and more reliable machine learning models.

This is the most comprehensive, yet easy to follow, course for feature selection available online. Throughout this course you will learn a variety of techniques used worldwide for variable selection, gathered from data competition websites and white papers, blogs and forums, and from the instructor’s experience as a Data Scientist.

You will have at your fingertips, altogether in one place, multiple methods that you can apply to select features from your data set.

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