ahmedbesbes/How-to-score-0.8134-in-Titanic-Kaggle-Challenge
Solution of the Titanic Kaggle competition
Implements a complete machine learning pipeline including exploratory data analysis, feature engineering, and ensemble model tuning on structured passenger data. The solution employs data cleaning, feature transformation, and hyperparameter optimization techniques to achieve 0.8134 accuracy. Delivered as an interactive Jupyter notebook documenting each stage of the predictive modeling workflow.
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