Answer Posted / Abhinav Kodesia

The Box-Cox transformation is a technique used to transform non-normal data (data that violates the assumption of normality) into a normal distribution, making it suitable for statistical analysis and machine learning algorithms. It helps in stabilizing variance and can handle skewed data.

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