tl;dr:DoorDash's engineering team tackled the challenge of accurately forecasting supply and demand during holidays, where traditional tree-based machine learning models like Random Forest and Gradient Boosting faced limitations. The article introduces the "cascade modeling approach" as a solution. This method extends the Gradient Boosting Machine model with a linear model to account for holiday impacts, enhancing forecast accuracy. The cascade approach involves calculating holiday multipliers, preprocessing data, and post-processing forecasts.