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Workflow: Loaded and cleaned the Titanic dataset, performed exploratory data analysis with multiple visualizations, engineered features, and trained a Random Forest classifier to predict passenger survival. The model achieved 79.8% accuracy. The analysis showed that sex, passenger class, and fare were the strongest predictors of survival.