Developed a sophisticated link prediction system for actor co-occurrence networks using advanced machine learning techniques, achieving 76.42% prediction accuracy with logistic regression. The project successfully combined graph structural features with node attributes to predict missing edges in the network, demonstrating superior performance across multiple evaluation metrics including F1 score (0.7607) and AUC score.