California Housing Price Prediction

This project predicts California housing prices using the California Housing dataset. We explore feature engineering, train a Ridge regression model, and evaluate its performance.

Dataset

• Source: California Housing dataset
• Contains 20,640 rows and 9 features:
  • longitude, latitude
  • housing_median_age
  • total_rooms, total_bedrooms
  • population, households
  • median_income
  • ocean_proximity
• Target: median_house_value (capped at $500,000)

Features

• Added engineered features:
  • rooms_per_household
  • bedrooms_per_room
  • population_per_household

Installation

1. Clone the repository:

   git clone git@github.com:YourUsername/CA_Housing_Model.git
   cd CA_Housing_Model