What are some examples of normalization techniques in data processing?
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What are some examples of normalization techniques in data processing?
Normalization techniques are methods used to adjust the values in a dataset to a common scale. Some examples include Min-Max Scaling, Z-score Normalization, and Decimal Scaling.
Can you explain Min-Max Scaling in more detail?
Sure! Min-Max Scaling transforms features to a fixed range, usually [0, 1]. It subtracts the minimum value and divides by the range of the feature.
What about Z-score Normalization?
Z-score Normalization, or standardization, rescales data to have a mean of 0 and a standard deviation of 1. It’s calculated by subtracting the mean and dividing by the standard deviation.
Are there any situations where normalization is not recommended?
Yes, normalization may not be suitable for data that is already on a similar scale or for algorithms that do not require it, like tree-based models.
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