Add data/raw/sales_geocoded.csv — NYC spatial features for Space runtime

Add data/raw/nyc_commuter_rail_stations.csv — NYC spatial features for Space runtime

Add data/raw/nyc_citibike_stations.csv — NYC spatial features for Space runtime

Add data/raw/overture_poi_buckets.npz — NYC spatial features for Space runtime

Add features_riyadh.csv — district stats required for /predict/riyadh accuracy

Riyadh v12 meta: n_features=149, holdout_r2=0.8014, medape=15.59%

Riyadh v12: 149 features (+9 structural: bayut_villa_median, haraj_type_area/age)

Upload data/processed/features.csv with huggingface_hub

Upload data/raw/nyc_bike_lanes.geojson with huggingface_hub

Upload data/raw/nyc_coastline_pts.npy with huggingface_hub

Upload models/riyadh_meta.json with huggingface_hub

Upload models/meta.json with huggingface_hub

Upload models/luxury_model.json with huggingface_hub

Upload models/xgboost_model.json with huggingface_hub

Upload models/riyadh_stack.pkl with huggingface_hub

Upload models/thaman_stack.pkl with huggingface_hub

initial commit