Producing insights with Generalized Additive Models (GAMs)

Today we are going to learn how to use Generalized Additive Models to predict the number of bicycles rented in Washington D.C. between 2011 and 2012. This dataset was provided by the bike-sharing company: Capital Bikeshare. Bike-sharing systems are a new generation of service that allows users to pick up and drop off bicycles at convenient locations. Thus, promoting zero-emission transportation that has positive effects on traffic, the environment, and health issues. "A generalized additive model is a generalized linear model with a linear predictor involving a sum of smooth functions of covariates" (Wood, 2017).