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rental-market

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This project predicts apartment rental prices using machine learning techniques based on features like square footage and location. After preprocessing and dimensionality reduction with PCA, a Random Forest Regressor was used, achieving high accuracy R2 = 0.90. The model helps renters and property owners make data-driven pricing decisions.

  • Updated Aug 7, 2025
  • Jupyter Notebook

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