Hi, I wanted to work with machine learning as a project task and I was able to get my hands on a real problem. As I’m still testing the waters with machine learning, I would like to get input of the experienced community here.

Someone used a drone to gather flight data, their overall goal is to find out what influences the network quality so that they can predict it in unknown territory.

I have flight data (time/coordinates,cell tower, network quality) for the territory A, however territory A is only a very small part of the overall territory.

So I have to predict the network quality of untested territories, with the help of the exisitng data. Fun!

So much about the problem, what I was trying to learn over the last week is what kind of machine learning task I could use for this.

It seems to me that I would need a supervised regression task. Am I correct in that assumption? Am I thinking to simple?

Thanks for any and all input.