What is the purpose of feature scaling in machine learning preprocessing?

Data Science with Python Easy

Data Science with Python — Easy

What is the purpose of feature scaling in machine learning preprocessing?

Key points

  • Feature scaling helps prevent bias in algorithms
  • It makes sure all features have equal influence on the model
  • Scaling is crucial for distance-based and gradient-based algorithms

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