https://github.com/nurulashraf/rnn-sequence-number-prediction
This analysis demonstrates building and training a simple RNN model to predict the next number in a sequence, covering data preparation, model architecture, training, and prediction.
https://github.com/nurulashraf/rnn-sequence-number-prediction
data-science deep-learning keras machine-learning python recurrent-neural-networks rnn sequence-prediction tensorflow time-series
Last synced: about 1 month ago
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This analysis demonstrates building and training a simple RNN model to predict the next number in a sequence, covering data preparation, model architecture, training, and prediction.
- Host: GitHub
- URL: https://github.com/nurulashraf/rnn-sequence-number-prediction
- Owner: nurulashraf
- License: mit
- Created: 2025-08-28T03:31:40.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2025-08-29T03:00:30.000Z (10 months ago)
- Last Synced: 2025-08-29T07:28:00.434Z (10 months ago)
- Topics: data-science, deep-learning, keras, machine-learning, python, recurrent-neural-networks, rnn, sequence-prediction, tensorflow, time-series
- 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 Sequence Number using Recurrent Neural Network (RNN)
A simple RNN model that predicts the next number in a sequence. This project demonstrates data preparation, model architecture, training, and inference using Python, TensorFlow/Keras.
## 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
---
## Features
- Generates sequential numeric data for training and validation
- Builds a Recurrent Neural Network using TensorFlow/Keras
- Trains the model to predict the next number in a sequence
- Supports sequence inference post-training
## Tools & Libraries
- **Python 3.x**
- **TensorFlow / Keras** – for building and training the RNN
- **NumPy**, **pandas** (optional) – for data manipulation
## How to Use
1. **Clone the repository**
```bash
git clone https://github.com/nurulashraf/rnn-sequence-number-prediction.git
cd rnn-sequence-number-prediction
```
2. **Install dependencies**
```bash
pip install -r requirements.txt
```
3. **Open the notebook**
```bash
jupyter notebook rnn-sequence-number-prediction.ipynb
```
---
## License
This project is licensed under the MIT License — see [LICENSE](LICENSE) for details.