Which feature transformation technique is used to normalize the range of feature

Practice Questions

Q1
Which feature transformation technique is used to normalize the range of features?
  1. One-Hot Encoding
  2. Min-Max Scaling
  3. Label Encoding
  4. Feature Extraction

Questions & Step-by-Step Solutions

Which feature transformation technique is used to normalize the range of features?
  • Step 1: Understand that feature transformation techniques are used to change the values of features in a dataset.
  • Step 2: Learn that normalization is a process that adjusts the values to a common scale.
  • Step 3: Identify that Min-Max Scaling is a specific technique used for normalization.
  • Step 4: Know that Min-Max Scaling transforms the values of features to a specified range, usually between 0 and 1.
  • Step 5: Realize that this technique is useful when you want to ensure that all features contribute equally to the analysis.
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