Skip to content

ConOLeary/Predicting_Bike_Distribution

Repository files navigation

Predicting_bike_distribution

Evaluated the feasibility of predicting bike station occupancy(fullness) 10, 30, and 60 minutes into the future using past data from gov.ie. Studied the efficacy of different machine learning approaches on two stations with different patterns of behaviour (Portobello Harbour and Custom House Quay).

Screen Shot 2021-08-13 at 09 12 28

About

Evaluated the feasibility of predicting bike station occupancy(fullness) 10, 30, and 60 minutes into the future using past data from gov.ie. Studied the efficacy of different machine learning approaches on two stations with different patterns of behaviour (Portobello Harbour and Custom House Quay).

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors