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https://github.com/bell-kevin/titanicneuralnetwork

XGBoost, which tends to be one of the top-performing algorithms for structured/tabular data. We do some feature engineering (e.g., extracting titles from passenger names, creating family size features, etc.), then train and tune an XGBoost model
https://github.com/bell-kevin/titanicneuralnetwork

machine-learning neural-network titanic titanic-dataset titanic-kaggle titanic-survival-prediction

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XGBoost, which tends to be one of the top-performing algorithms for structured/tabular data. We do some feature engineering (e.g., extracting titles from passenger names, creating family size features, etc.), then train and tune an XGBoost model

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