🏡 House Price Predictor (Kaggle + Hugging Face)

📦 Project Highlights

• ✅ Exploratory Data Analysis (EDA)
• ✅ Feature Engineering from domain knowledge
• ✅ Model training: Ridge, Lasso, Random Forest, XGBoost, and Stacking
• ✅ NLP augmentation: BERT embeddings from generated property descriptions
• ✅ Full model pipeline with preprocessing (ColumnTransformer)
• ✅ Deployment-ready model saved with joblib

📊 Features

• GrLivArea, TotalBsmtSF, GarageCars, etc.

• Neighborhood, HouseStyle, etc. (one-hot encoded)

• Log-transformed target
• Interaction terms
• Transformer-based embeddings from property descriptions

🤖 Model Card

• Type: Regressor
• Algorithm: XGBoost in Scikit-learn Pipeline
• Target: SalePrice (log-transformed)
• Evaluation: Root Mean Squared Error (RMSE)