This assignment will take the form of an in-class competition to forecast demand for bikes in a bike-sharing system. You are provided hourly rental data spanning two years. For this competition, the training set is comprised of the first 13 days of each month, while the test set is the 14th through the 19th of the month. You must predict the total count of bikes rented during each hour covered by the test set. Your forecasts will be assessed based on RMSE.
Here is a handy link to Kaggle's [competition documentation](https://www.kaggle.com/docs/competitions), which includes, among other things, instructions on [submitting predictions](https://www.kaggle.com/docs/competitions#making-a-submission).