AsrorAsr/tashkent-apartment-price-predictor

🏠 Tashkent Apartment Price Predictor

A Linear Regression model that predicts apartment prices in Tashkent.

Model Details

• Algorithm: Linear Regression (scikit-learn)
• Training Data: 1,000 synthetic apartments
• R² Score: 0.9738
• MAE: 10,459,285 UZS

Usage

import joblib, pandas as pd
from huggingface_hub import hf_hub_download

path = hf_hub_download(repo_id="AsrorAsr/tashkent-apartment-price-predictor", filename="model.joblib")
model = joblib.load(path)

apt = pd.DataFrame(dict(
    district=["Yunusobod"], area_sqm=[85], rooms=[3],
    floor=[5], total_floors=[9], year_built=[2020],
    distance_to_metro=[0.5]
))
print(model.predict(apt)[0])