Data Preparation for Predictive Modeling: Resolving Skewness

Skewness is a measure of asymmetry of distribution. Many model building techniques have the assumption that predictor values are distributed normally and have a symmetrical shape. In this post we discuss data preparation methods for resolving skewness. Data preparation is a critical first step for building high performance predictive models. In a series of posts […]

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