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