Predicting Bike Rentals in Washington D.C.

Posted By Daniel on Feb 21, 2017 | 0 comments


Predicting Bike Rentals in Washington D.C.

by | Feb 21, 2017 | Data Science, Featured, Jupyter Notebook, Portfolio, Python, Uncategorized | 0 comments

Overview

In cities across the US, bike sharing programs are becoming increasingly popular. Anyone can rent a bike by the hour or by the day from any of the communal bike sharing stations. Washington D.C. has one of these programs. Hadi Fanaee-T   at the University of Porto compiled this data into a CSV file, which contains 17,380 rows. Each row represents the bike rental count “cnt” for a single hour of a single day.

We will be trying to predict the bike rental count for one hour time periods.

 

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