An end-to-end data science project, from data collection to model deployment, aimed at predicting user interaction on Strava activities based on the given activity’s attributes.
Strava is a service for tracking human exercise which incorporates social network type features. It is mostly used for cycling and running, with an emphasis on using GPS data. A typical Strava post from myself is shown below and we can see that it contains a lot of information: distance, moving time, pace, elevation, weather, GPS route, who I ran with, etc., etc.