This document summarizes a Kaggle competition to forecast bike share system use using historical rental data. It describes the data provided, which includes date/time details, weather factors, and counts of casual, registered and total rentals on an hourly basis. It also lists the tools that were used for the analysis, including R for feature engineering and models like random forests and neural networks.