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.
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.
- 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.1.0.0branch for a stable version of the project. - Collaborative Efforts: Contributions from a dedicated team.
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 |
- Main Branch: Contains the latest development and updates.
- fix/v.1.0.0: Stable version with fixes and improvements from the initial implementation.
- Python 3.10+
- Libraries: NumPy, Pandas, Matplotlib, Scikit-learn, Tensorflow
- Clone this repository:
git clone https://github.com/WawanWidiantara/Single-Layer-Perceptron.git
This project is licensed under the MIT License - see the LICENSE file for details.