California Housing Price Predictor

An end-to-end Machine Learning pipeline designed to predict housing prices using the California Housing dataset. This project features a robust model built with XGBoost that processes and analyzes real estate data with high precision.

The model interacts with users through a clean, interactive Streamlit interface. It handles data preprocessing, feature engineering, and model training seamlessly, allowing individuals to get real-time price predictions based on varying housing metrics.