House Price Prediction using Ridge Regression

A practical project applying Machine Learning to predict house prices with an interactive web interface built using Streamlit.

The model is developed using Ridge Regression (RidgeCV) and StandardScaler for data normalization to improve prediction accuracy.

The application allows users to input property features and receive instant price predictions, along with a clear explanation of the workflow—from data analysis and preprocessing to model evaluation using MAE and RMSE