Feature Selection for Machine Learning For Free

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Ruchika oberoi

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Mar 27, 2022
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[Download] Feature Selection for Machine Learning For Free

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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

Requirements

  • A Python installation
  • Jupyter notebook installation
  • Python coding skills
  • Some experience with Numpy and Pandas
  • Familiarity with Machine Learning algorithms
  • Familiarity with scikit-learn

Who this course is for:

  • Beginner Data Scientists who want to understand how to select variables for machine learning
  • Intermediate Data Scientists who want to level up their experience in feature selection for machine learning
  • Advanced Data Scientists who want to discover alternative methods for feature selection
  • Software engineers and academics switching careers into data science
  • Software engineers and academics stepping into data science
  • Data analysts who want to level up their skills in data science


RAR password: [email protected]