What are some common data scaling techniques?
An example of an AI chatbot conversation about data scaling techniques.
What are some common data scaling techniques?
Common data scaling techniques include Min-Max scaling, Standardization (Z-score normalization), and Robust scaling.
Can you explain Min-Max scaling?
Min-Max scaling transforms features to a fixed range, usually [0, 1], by subtracting the minimum and dividing by the range.
What about Standardization?
Standardization rescales data to have a mean of 0 and a standard deviation of 1, making it useful for normally distributed data.
When should I use Robust scaling?
Robust scaling is ideal when your data contains outliers, as it uses the median and interquartile range for scaling.
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