Upload 4 files

.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+base_hdb_resale_prices_2015Jan-2025Jun_processed.csv filter=lfs diff=lfs merge=lfs -text
+base_hdb_resale_prices_2015Jan-2025Jun.csv filter=lfs diff=lfs merge=lfs -text

base_hdb_resale_prices_2015Jan-2025Jun.csv

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b5cf5a755eaa6ad641351693930ee2e2f5d7cb0a1651a42244a08a6d882ef48e
+size 25122622

base_hdb_resale_prices_2015Jan-2025Jun_processed.csv

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+version https://git-lfs.github.com/spec/v1
+oid sha256:27f61242543de7d156ed192766cd8993974ba4bbe6a694c2bb74048caf69662a
+size 22701396

best_model_xgboost.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:69389b06ebf7d91802e0ac5da243f3ff93dd673ce1b52a492d0fe33cbab7ffb7
+size 1411023

requirements.txt

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+# Core dependencies
+gradio>=4.0.0
+pandas>=1.5.0
+numpy>=1.24.0
+joblib>=1.2.0
+plotly>=5.13.0
+huggingface-hub>=0.17.0
+
+
+# Optional: For Hugging Face Hub integration (if needed)
+# huggingface-hub==0.17.3
+
+# Optional: For scikit-learn models (if your joblib files contain sklearn models)
+# scikit-learn==1.3.0
+
+# Optional: For XGBoost models (if your joblib files contain xgboost models)
+ xgboost==1.7.6
+