Which feature scaling technique centers the data around zero?

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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