https://github.com/nurulashraf/ann-house-price-prediction
Predicting house prices with a simple neural network using TensorFlow/Keras. Synthetic data based on size, bedrooms, and location is used to train the model.
https://github.com/nurulashraf/ann-house-price-prediction
data-science house-price-prediction keras machine-learning neural-network regression synthetic-data tensorflow
Last synced: about 2 months ago
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Predicting house prices with a simple neural network using TensorFlow/Keras. Synthetic data based on size, bedrooms, and location is used to train the model.
- Host: GitHub
- URL: https://github.com/nurulashraf/ann-house-price-prediction
- Owner: nurulashraf
- License: mit
- Created: 2025-08-21T06:52:11.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2025-08-21T06:53:46.000Z (about 2 months ago)
- Last Synced: 2025-08-21T08:48:43.676Z (about 2 months ago)
- Topics: data-science, house-price-prediction, keras, machine-learning, neural-network, regression, synthetic-data, tensorflow
- Homepage:
- Size: 8.79 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Predicting House Prices using Artificial Neural Network (ANN)
A straightforward project that trains an Artificial Neural Network (ANN) to predict house prices using a clean dataset and Python-based tools.
---
## Project Structure
- `notebooks/` – Jupyter Notebooks for data analysis, model training and evaluation
- `requirements.txt` – Python libraries needed to run the project
- `LICENSE` – MIT Licence for this project
- `README.md` – this file with overview and instructions
---
## Tools & Libraries
- Python 3.x
- `numpy` – numerical operations
- `pandas` – data manipulation
- `scikit-learn` – splitting data, preprocessing, evaluation metrics
- `tensorflow` / `keras` – building and training the ANN
- `matplotlib` or `seaborn` – visualisations of data and model performance
---
## How to Use
1. **Clone the repository**
```bash
git clone https://github.com/nurulashraf/ann-house-price-prediction.git
cd ann-house-price-prediction
```
2. **Install dependencies**
```bash
pip install -r requirements.txt
```
3. **Open the notebook**
```bash
jupyter notebook ann_house_price_prediction.ipynb
```
---
## License
This project is licensed under the MIT License. Feel free to fork, modify, or use it freely. See the [LICENSE](LICENSE) file for full terms.