Feature engineering - house price prediction (small dataset) I am working on the task of predicting real estate prices. My dataset has only 10 variables described below. I'm thinking about feature engineering but nothing comes to mind. 

Variables:

street

city

zip code

rooms

bathrooms

square feet

type

price

latitude

longitude
latitude, longitude could be used for clustering. Then you should set cluster_id to every house as a new feature.

Also it possible to use geo coordinates to calculate the distances to important points (to the city center for example)