Titanic Survivors Prediction Project

Task Objectives

• Build a predictive model to determine the survival of passengers on the Titanic.
• Use relevant data preprocessing, feature engineering, and machine learning techniques.
• Provide clear and reproducible steps to run the project and evaluate the model.

Steps to Run the Project

1. Clone the repository to your local machine.
2. Ensure you have Python 3.x installed.
3. Install the required dependencies (e.g., pandas, scikit-learn, numpy, matplotlib) using:

   pip install -r requirements.txt
   

4. Run the Jupyter notebooks in the following order:
   • titanic_model.ipynb
   • titanic_survival_model.ipynb
5. Review the results and visualizations in the notebooks.
6. Optionally, use the provided dataset tested 2.csv for testing or further analysis.

Project Structure

• titanic_model.ipynb: Initial data exploration and model building.
• titanic_survival_model.ipynb: Advanced modeling and evaluation.
• tested 2.csv: Dataset used for testing.
• README.md: Project overview and instructions.

Evaluation Criteria

• Clean, well-structured code.
• Clear documentation and instructions.
• Accurate and interpretable predictive model.