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</html><description>Description: Generalized Additive Models (GAMs) are an extension of linear models that allow the response variable to depend linearly on unknown smooth functions of some predictor variables. This flexibility is achieved by combining non-parametric functions, which can capture complex relationships between variables without imposing a specific functional form. GAMs are particularly useful in situations where [&hellip;]</description></oembed>
