Titanic Survival Prediction Model

Overview

This project aims to predict the survival of passengers on the Titanic using machine learning. Various models and techniques have been employed to achieve an accuracy of at least 80%. The workflow includes data preprocessing, exploratory data analysis (EDA), model training, evaluation, and interpretation.

Table of Contents

• Data Overview
• Exploratory Data Analysis (EDA)
• Model Training
• Model Evaluation
• Feature Importance
• Cross-Validation
• Hyperparameter Tuning
• Ensemble Methods
• Model Interpretability
• Model Deployment
• Monitoring and Maintenance

Getting Started

Welcome to the Titanic Survival Prediction Model! To get started, follow these steps:

1. Clone this repository.
2. Install requirements.
3. Explore the project!