Welcome to the Titanic Classification project repository! This project aims to predict whether a passenger on the Titanic survived or not based on various features such as age, gender, class, and more.
The sinking of the Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, the Titanic sank after hitting an iceberg, resulting in the deaths of over 1,500 passengers and crew. This project attempts to predict whether a given passenger survived or not using machine learning algorithms.
Key components of this project include:
- Data preprocessing and cleaning.
- Exploratory Data Analysis (EDA) to gain insights into the dataset.
- Feature engineering to create meaningful features.
- Model selection and training.
- Model evaluation and performance metrics.
You must have Python installed on your machine in order to use this project.
- Clone the repository to your local machine
git clone https://github.com/Al04ni/titanic_shipwreck.git
- Change directory into the repository
cd titanic_shipwreck
- Activate the virtual environment
python .venv\Scripts\activate
- Explore the notebooks in the repository using a Jupyter Notebook or JupyterLab environment. You can launch the environment by running the following command:
jupyter notebook
or
jupyter lab
Run the Streamlit application with the given command:
streamlit run app.py
Now you can enjoy the app right in your web browser.