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Parametric modeling involves using mathematical parameters or functions to define the relationships between data points. It assumes a specific functional form for the data distribution or relationship. Non-parametric modeling does not assume a specific functional form for the data distribution or relationship. It allows for more flexibility in capturing complex patterns and does not rely on predefined assumptions.