Understanding the bike rental problem
As in other examples, we're going to use a dataset from the School of Information and Computer Science at the University of California. The dataset is taken from the location specified here:
Note
Bache, K. and Lichman, M. (2013). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.
In this chapter, we will use the Bike Sharing Dataset. You can access the dataset here https://archive.ics.uci.edu/ml/datasets/Bike+Sharing+Dataset. This dataset contains the hourly and daily count of rental bikes between the years of 2011 and 2012 in the Washington bikeshare system, with the corresponding weather and seasonal information. This dataset was originally taken from the location specified here:
Note
Fanaee-T, Hadi, and Gama, Joao, 'Event labeling combining ensemble detectors and background knowledge', Progress in Artificial Intelligence (2013): pp. 1-15, Springer Berlin Heidelberg...
