Global landuse data on postal code level, optimized for Machine learning tasks | Sample

This dataset contains the actual data about landuse in the 1km area around the postal code. The data is aggregated on the postal code level. The fields include the ratio of forests square to the postal code area, the ratio of industrial area square to the postal code area, the ratio of residential area square to the postal code area etc.

This data product has been optimized specifically for machine learning and prediction tasks, such as credit scoring, when you know the borrower's address. Or to forecast demand in a specific location. It includes pre-calculated machine learning features that are ready to use.

🔎 Simple Drag & Drop Streamlit App to find relevant data listings & fields for your ML task: https://upgini.com/upgini-widget