🚢 Titanic Survivor Prediction Model

Overview

This project is a 🤖 machine learning model that predicts the likelihood of survival for passengers on the Titanic ship based on various features.

Model

The machine learning model is built using scikit-learn

Dataset

The dataset used for training and testing the model is included in the directory. The dataset includes the following columns:

• Pclass: Passenger class (1st, 2nd, or 3rd)
• Sex: Gender of the passenger
• Age: Age of the passenger
• SibSp: Number of siblings/spouses aboard
• Parch: Number of parents/children aboard
• Fare: Passenger fare
• Embarked: Port of embarkation (C = Cherbourg, Q = Queenstown, S = Southampton)

Usage

To use this project, clone the repository and install the required dependencies:

git clone https://github.com/omarnahdi/titanic-survivor-prediction.git
cd titanic-survivor-prediction

Contributing

We welcome contributions from the community! If you'd like to contribute to the project, follow these steps:

• Fork the repository.
• Create a new branch for your feature or bug fix: git checkout -b feature-name.
• Make your changes and commit them: git commit -m 'Add feature XYZ'.
• Push to your branch: git push origin feature-name.
• Create a pull request on GitHub.

Please ensure your code follows the project's coding standards and include tests if applicable.