WIP Housing price feature engineering notebook #725
Merged
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Add new notebook to discover how geo-related aspects affect housing price in the USA. We will consider a house based on the information provided in an existing dataset with some addtional spatial attributes extracted from its location using xarray-spatial (and probably some elevation dataset, and census-parquet as well?).
We'll first build a machine learning model and train it with all existing features. For each newly added feature, we'll retrain it and compare the results to find out which features help enrich the model.
To be determined: