Data Science: Feature Engineering with Spatial Flavour – Sp.4ML

Imagine that we are working for a real estate agency and our role is to estimate price of apartment renting in a different parts of the New York City. In classic machine learning approach we work through those variables and build model for prediction of a price. We will consider the last example and learn how to retrieve spatial information using GeoPandas package and publicly available geographical datasets. Data for this article is shared in Kaggle. Data is also available in the blogpost repository.