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Housing Price Prediction (ML)

A small ML project that trains a RandomForestRegressor to predict median_house_value using the California housing dataset, with a saved preprocessing pipeline for easy inference.

Contents

  • main.py : Training + inference script
  • housing.csv : Dataset (required)
  • model.pkl : Saved trained model (generated after training)
  • pipeline.pkl : Saved preprocessing pipeline (generated after training)
  • input.csv : Test input file for inference (auto-generated)
  • output.csv : Final predictions output (generated after inference)

Build Requirements

  • Python 3.x
  • numpy, pandas, scikit-learn, joblib

Install dependencies:

pip install numpy pandas scikit-learn joblib