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 […]

Continue reading →

Data Preparation for Predictive Modeling: Centering & Scaling

Data preparation is a critical first step for building high performance predictive models. In a series of posts we discuss important data preparation techniques that improve the performance of predictive models. Below are techniques we are planning to cover in Data Preparation For Predictive Modeling Series: Centering & Scaling Resolving Skewness Resolving Outliers Data Reduction […]

Continue reading →