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CodeSignal

Dimensionality Reduction with Feature Selection

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Overview

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In this course, you'll learn specialized techniques for feature selection and extraction to improve machine learning models. Through practical applications on a synthetic dataset, you'll discover how to identify and remove low-variance features, use correlation with the target variable, and apply advanced selection methods to refine your datasets for optimal efficiency and effectiveness.

Syllabus

  • Lesson 1: Mastering Variance-Based Feature Selection with VarianceThreshold in Python
  • Lesson 2: Unveiling the Power of Univariate Feature Selection with SelectKBest in Python
  • Lesson 3: Mastering Feature Selection with Mutual Information in Python
  • Lesson 4: Mastering Feature Selection with Recursive Feature Elimination in Python
  • Lesson 5: Mastering Feature Selection with SelectFromModel in Scikit-learn

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