Predicting Bike Rentals by Applying Decision Trees & Random Forests

In many cities, there are communal bicycle sharing stations where you can rent bicycles by the hour or by the day. Kind of reminds me how we rent out cloud servers as I write this, haha. Washington, D.C. is one of these cities, and has detailed data available about how many bicycles were rented by hour and by day.

The powerful Hadi Fanaee-T at the University of Porto has compiled this data into a CSV file The file contains 17380 rows, and each row represents the bike rentals in a single hour of a single day. Let's take a closer look at it.

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