🏠 Boston House Price Prediction

A machine learning project that implements Linear Regression to predict house prices using the Boston Housing Dataset. The pipeline covers everything from data preprocessing and model training to evaluation and predictions on new input.

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Project Highlights

• Model Used: Linear Regression
• Dataset: Boston Housing (features include crime rate, number of rooms, property tax rate, etc.)
• Preprocessing: StandardScaler for feature scaling
• Evaluation Metrics: MAE, MSE, RMSE, R² Score, Adjusted R² Score
• Deployment Ready: Includes pickled model and scaler for deployment (regmodel.pkl, scaling.pkl)

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📁 Project Structure