This is on a prediction model we were trying out among a bunch of us trying out ML for the first time. Basically I have a training data set of network user ID's with their location (latitude and longitude). Also tracked are a couple of features such as the time of their first post, second post etc and a few details on their friends. My goal is to use these features to predict the location (latitude/ longitude) for a test set of data. Any ideas on what kind of model to use here and what ML technique to try out? At the moment we are using basic multiple regression to predict the latitude and longitude separately using independent models. But I was hoping to see if it is possible to approach the problem differently.