Day 39 generalized additive model (gam)

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Topic : Generalized Additive Model (GAM)

Article Source :

• Python Module for GAM
• Understanding Generalized Additive Models (GAMs): A Comprehensive Guide
• Generalized Additive Models (GAM) Implementation

TL;DR :

A Generalized Additive Model (GAM) is a statistical model that extends the concept of generalized linear models (GLMs) by allowing for non-linear relationships between the predictor variables and the response variable. Instead of using simple linear terms, GAMs employ smooth functions of the predictors to model their effects on the outcome. This makes GAMs particularly useful for capturing complex, non-linear patterns in data.