📊 Exploratory Data Analysis
Visualized key patterns and relationships between house features and price using rich seaborn and matplotlib plots.
📉 Outlier Removal & Feature Engineering
Removed outliers with the IQR method and engineered fresh features that sharpened the model's predictive power.
🧠 ElasticNet Regression
Built a linear regression model with ElasticNet regularization. R² ≈ 0.54 overall, and ≈ 0.57 across repeated K-Fold validation.
🚀 Try the Predictor
Enter your inputs and get a real-time house price estimate backed by the trained inference pipeline.
Tap to explore the interactive prediction experience.