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Which feature scaling technique centers the data around zero?

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Question: Which feature scaling technique centers the data around zero?

Options:

  1. Min-Max Scaling
  2. Standardization
  3. Normalization
  4. Log Transformation

Correct Answer: Standardization

Solution:

Standardization centers the data around zero by subtracting the mean and dividing by the standard deviation.

Which feature scaling technique centers the data around zero?

Practice Questions

Q1
Which feature scaling technique centers the data around zero?
  1. Min-Max Scaling
  2. Standardization
  3. Normalization
  4. Log Transformation

Questions & Step-by-Step Solutions

Which feature scaling technique centers the data around zero?
  • Step 1: Understand that feature scaling is a technique used to normalize the range of independent variables in data.
  • Step 2: Learn about standardization, which is one of the feature scaling techniques.
  • Step 3: Know that standardization involves two main calculations: finding the mean and the standard deviation of the data.
  • Step 4: Calculate the mean of the data by adding all the values together and dividing by the number of values.
  • Step 5: Calculate the standard deviation, which measures how spread out the numbers are from the mean.
  • Step 6: To standardize the data, subtract the mean from each data point to center it around zero.
  • Step 7: Divide the result from Step 6 by the standard deviation to scale the data.
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