How do I transform data for regression analysis?
To transform data for regression, you can normalize, standardize, or apply log transformations depending on your data's distribution.
What is normalization and when should I use it?
Normalization scales the data to a range of [0, 1]. It's useful when your features have different units or scales.
Can you explain standardization as well?
Standardization transforms data to have a mean of 0 and a standard deviation of 1. It's ideal for normally distributed data.
What about log transformation? When is it appropriate?
Log transformation is used to reduce skewness in data. It's appropriate when your data has exponential growth or is right-skewed.
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