Use linear model with feature selection, random forest, and Extreme Gradient Boosting to increase the predictive power
Rossmann is challenging you to predict 6 weeks of daily sales for 1,115 stores located across Germany. Store sales are influenced by many factors, including promotions, competition, school and state holidays, seasonality, and locality. With thousands of individual managers predicting sales based on their unique circumstances, the accuracy of results can be quite varied.
Feature engineer and examine 3 different statistical / machine learning analysis for forecasting