Bike Sharing Demand Predictor

Bike sharing systems are new generation of traditional bike rentals where whole process from membership, rental and return back has become automatic. Through these systems, user is able to easily rent a bike from a particular position and return back at another position. Currently, there are about over 500 bike-sharing programs around the world which is composed of over 500 thousands bicycles.
How many bikes will be rented today?
Current Predicted Bike Rentals Range
Prediction History
Submission Time Predicted Demand Count Predicted Demand Range

Build this Model Yourself

Do you already have a deployed Bike Sharing model? Like our user interface? Deploy your Bike Sharing model using our forms and UI!

Read our blog article to see exactly how this predictive model was put together and learn some best practices when data mining.

A copy of our deployed model can be found in the Azure Machine Learning Public Gallery. Head there to fork or clone a copy of our model straight into your own Azure ML Workspace.

Watch our 12 part video series that walks users end-to-end on how to build predictive webservices in Azure Machine Learning Studio, using the Bike Sharing dataset.