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    <title>Gaussian process regression on titanic dataset</title>
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    <description>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.</description>
    <pubDate>Fri, 13 Oct 2023 00:00:00 GMT</pubDate>
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