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"3 bedroom house, 2000 sq ft, built in 2005 with a 2-car garage"
1# Install dependencies
2pip install gradio pandas numpy scikit-learn google-generativeai
3
4# Run the app
5python3 app.py├── app.py # Main Gradio application
├── notebooks/
│ ├── 01_preprocessing # Data cleaning & feature engineering
│ ├── 02_eda # Exploratory data analysis
│ ├── 03_modeling # Model training & comparison
│ ├── 04_evaluation # Model evaluation & selection
│ └── 05_app # Application prototype
├── data/
│ ├── train.csv # Original training data
│ └── data_preprocessed # Processed features
└── models/
├── final_model.pkl # Trained Extra Trees model
└── preprocessors.pkl # Scaler & encoders| Metric | Value |
|---|---|
| R² Score | 0.914 |
| RMSE | $21,773 |
| Model | Extra Trees |
| Features | 164 engineered |