🏢 Apartment Rent Price Estimator

A machine learning project that predicts apartment rental prices based on the number of bedrooms, year of construction, parking availability, and garage. Built to assist renters, landlords and useful for real estate platforms in rent price estimation.

✨ Features

• 🛏️ Includes bedrooms, bathrooms, square footage, and building amenities

• ⚡ Real-time price estimation

• 📈 Explainable models with feature importance

• 📊 Interactive visualizations (optional)

📚 Table of Contents

• Features

• Getting Started

• Tech Stack

• Model Evaluation

• Contributing

• License

• Contact

🚀 Getting Started

Follow these steps to set up the project locally:

Prerequisites

• Python 3.8 or higher

• Poetry (package and dependency manager)

Installation

1. Clone the repository: git clone https://github.com/vgauss07/rent-price-prediction.git cd rent-price-prediction

🛠️ Tech Stack

• Python 3

• Pandas / NumPy

• Scikit-learn

• Flask (for frontend)

Model Evaluation

• Hyperparameter tuning with GridSearchCV:bestestimator

🤝 Contributing

Contributions are warmly welcome! Here's how you can help:

1. Fork this repository

2. Create your feature branch (git checkout -b feature/YourFeature)

3. Commit your changes (git commit -m 'Add a new feature')

4. Push to the branch (git push origin feature/YourFeature)

5. Open a Pull Request

📜 License

Distributed under the MIT License. See LICENSE for more information.

📬 Contact

Created by Jeffrey Voke Ojuederhie — feel free to connect!