https://github.com/wawanwidiantara/single-layer-perceptron
Single Layer Perceptron predicting Titanic survival, collaborative project.
https://github.com/wawanwidiantara/single-layer-perceptron
single-layer-perceptron tensorflow titanic-survival-prediction
Last synced: about 1 year ago
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Single Layer Perceptron predicting Titanic survival, collaborative project.
- Host: GitHub
- URL: https://github.com/wawanwidiantara/single-layer-perceptron
- Owner: wawanwidiantara
- License: mit
- Created: 2023-11-28T09:08:49.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-11-29T10:45:23.000Z (over 1 year ago)
- Last Synced: 2025-03-27T02:08:09.161Z (over 1 year ago)
- Topics: single-layer-perceptron, tensorflow, titanic-survival-prediction
- Language: Jupyter Notebook
- Homepage:
- Size: 11.7 MB
- Stars: 5
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Single Layer Perceptron for Titanic Dataset
Welcome to the **Single Layer Perceptron for Titanic Dataset** repository. This project demonstrates the use of a Single Layer Perceptron (SLP) model to predict the survival of Titanic passengers. This repository includes both the implementation and collaborative efforts of a dedicated team to refine and improve the codebase.
---
## Table of Contents
1. [About the Project](#about-the-project)
2. [Features](#features)
3. [Team Contributors](#team-contributors)
4. [Branches](#branches)
5. [How to Use](#how-to-use)
6. [License](#license)
---
## About the Project
This project utilizes the Titanic dataset to build a machine learning model using a Single Layer Perceptron. The objective is to predict survival probabilities based on input features such as age, class, and gender.
The repository is continuously being improved, with cleaner and optimized code to ensure performance and readability.
---
## Features
- **Single Layer Perceptron Implementation**: Includes an efficient and modularized SLP architecture.
- **Preprocessed Titanic Dataset**: Ensures proper feature scaling and handling of missing values.
- **Branch Versioning**: Check out the `fix/v.1.0.0` branch for a stable version of the project.
- **Collaborative Efforts**: Contributions from a dedicated team.
---
## Team Contributors
Here are the incredible contributors to this project:
| **Contributor** | **NPM** | **GitHub Profile** |
|-----------------------------|----------------|-----------------------------------|
| I Gede Widiantara (Lead) | 5210411135 | [GitHub Profile]() |
| Evi Nur Hidayah | 5210411104 | [GitHub Profile]() |
| Ahmad Halim Faizal Zidan | 5210411106 | [GitHub Profile]() |
| Nendy Nailul Autor | 5210411117 | [GitHub Profile]() |
| Muhammad Izza Iqbal | 5210411144 | [GitHub Profile]() |
| Muhammad Aufa Zaydan Azfar | 5210411147 | [GitHub Profile]() |
| Allan Bil Faqih | 5210411383 | [GitHub Profile]() |
---
## Branches
- **Main Branch**: Contains the latest development and updates.
- **fix/v.1.0.0**: [Stable version]() with fixes and improvements from the initial implementation.
---
## How to Use
### Prerequisites
- Python 3.10+
- Libraries: NumPy, Pandas, Matplotlib, Scikit-learn, Tensorflow
### Installation
1. Clone this repository:
```bash
git clone https://github.com/WawanWidiantara/Single-Layer-Perceptron.git
```
## License
This project is licensed under the [MIT License](LICENSE) - see the LICENSE file for details.