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Feature Selection for Machine Learning


Feature Selection for Machine Learning, 
Select the variables in your data to build simpler, faster and more reliable machine learning models.

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What you'll learn
  • Learn about filter, embedded and wrapper methods for feature selection
  • Find out about hybdrid methods for feature selection
  • Select features with Lasso and decision trees
  • Implement different methods of feature selection with Python
  • Learn why less (features) is more
  • Reduce the feature space in a dataset
  • Build simpler, faster and more reliable machine learning models
  • Analyse and understand the selected features
  • Discover feature selection techniques used in data science competitions

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