House Price Predictor Yogyakarta 🏠

A simple Streamlit app to predict house prices in Yogyakarta based on building area using multiple machine learning models.

🔍 Features

• Predict house price based on building area
• Compare predictions from 4 models: Linear Regression, Decision Tree, Gradient Boosting, and Random Forest
• Interactive UI with Streamlit

📦 Requirements

• Python 3.8+
• Streamlit
• scikit-learn
• joblib
• numpy

Install the dependencies:

pip install -r requirements.txt

🚀 How to Run

Clone the repository:

git clone https://github.com/your-username/house-price-predictor-yogyakarta.git
cd house-price-predictor-yogyakarta
streamlit run app.py

📁 Files

• app.py : Main Streamlit application
• linear_model.pkl, tree_model.pkl, gboost_model.pkl, forest_model.pkl : Trained ML models
• yogyakarta_price_prediction.ipynb : Jupyter notebook for training and evaluating machine learning models for house price prediction in Yogyakarta