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California Housing Price Prediction 🏑

Steps

  • Data preprocessing (missing values, categorical encoding).
  • Model 1: Linear Regression β†’ RMSE β‰ˆ 70K.
  • Model 2: Random Forest β†’ RMSE β‰ˆ 49K (better).

Files

  • notebook.ipynb : project code.
  • README.md : quick summary.

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