What are some effective data standardization techniques?
Data standardization techniques include normalization, z-score standardization, and min-max scaling.
Can you explain normalization in more detail?
Normalization rescales data to a range of [0, 1] or [-1, 1], making it easier to compare different datasets.
What is z-score standardization?
Z-score standardization transforms data to have a mean of 0 and a standard deviation of 1, useful for identifying outliers.
When should I use min-max scaling?
Min-max scaling is ideal when you need to maintain the relationships between data points and ensure all features contribute equally.
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