This project aims to predict the likelihood of survival for passengers on the Titanic using a machine learning model. The application is built with Streamlit, a powerful Python library for creating interactive web applications.

1. Input Form:

   • Users can input various features such as age, gender, class, etc., to get predictions on the likelihood of survival.

2. Model Prediction:

   • Based on the input provided, the model predicts whether a passenger would survive or not.

Follow these steps to run the Streamlit app locally:

1. Clone the repository:

git clone[ https://github.com/your-username/titanic-prediction-streamlit.git](https://github.com/ZG3Z/Streamlit-Titanic-Prediction.git)

2. Navigate to the project directory:

cd Streamlit-Titanic-Prediction

3. Install the required dependencies:

pip install -r requirements.txt

4. Run the Streamlit app:

streamlit run app.py