Game of Thrones Character Survival & Battle Analysis

Project Title: Game of Thrones Character Survival & Battle Analysis

Description:

This project analyzes the violent, unpredictable world of Game of Thrones using data science. We explored character traits, allegiances, and battles to uncover patterns behind survival and death. With frequent plot twists and mass character deaths, the show offers rich material for predictive modeling and storytelling through data.

Machine Learning Models Used:

We used five machine learning models to predict character deaths and analyze survival factors:

Artificial Neural Network (ANN)

AdaBoost Classifier

Random Forest Classifier

Support Vector Machine (SVM)

Logistic Regression

These models revealed how traits like allegiance, nobility, and gender impact survival outcomes.