4 Reasons Non-Parametric Bootstrapped Regression (via tidymodels) is Better then Ordinary Regression
If the assumptions of parametric models can be satisfied, parametric models are the way to go. However, there are often many assumptions and to satisfy them all is rarely possible. Data transformation or using non-parametric methods are two solutions for that. In this post we’ll learn the Non-Parametric Bootstrapped Regression as an alternative for the Ordinary Linear Regression in case when assumptions are violated.
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