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Applying Gaussian process classification to the Titanic dataset to predict passenger survival from age and fare using scikit-learn and an RBF kernel. Walks through data exploration, preprocessing, and evaluation (~72% accuracy), with surface and heatmap visualizations of the predicted survival probabilities.