📊 Exploratory Data Analysis

Visualized key patterns and relationships between house features and price. Used seaborn and matplotlib for insights.

📉 Outlier Removal & Feature Engineering

Removed outliers using the IQR method and created new features to improve model performance.

🧠 ElasticNet Regression

Built a linear regression model with ElasticNet regularization. R² ≈ 0.54; Average R² from Repeated K-Fold Cross Validation. R² ≈ 0.57; R² Score on Test Data

🚀 Try the Predictor

Enter your inputs and get a real-time house price estimate based on the trained model.