zmzhouXJTU/Titanic_Rescue_Prediction
Kaggle入门级机器学习项目：泰坦尼克号生存预测
Implements a complete data mining pipeline with feature engineering (extracting title prefixes from passenger names for age imputation) and multivariate analysis to identify survival predictors—sex, cabin class, and family relationships show strongest correlation. Applies multiple classification algorithms with comparative evaluation on 891 training samples across 11 passenger attributes, handling missing values through statistical imputation and categorical encoding before model selection.
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Nov 18, 2018
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