The Titanic Kaggle competition challenges participants to predict the survival of passengers. I conducted an exploratory data analysis, revealing key predictors like gender, class, age, and embarkation point. Using a stacking ensemble model with RandomForest, GradientBoosting, and XGBoost as base learners and LogisticRegression as a meta-learner. 💻
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The Titanic Kaggle competition challenges participants to predict the survival of passengers. I conducted an exploratory data analysis, revealing key predictors like gender, class, age, and embarkation point. I used a stacking ensemble model with 3 base learners and 1 meta-learner. 💻
matteobalducci/Titanic-Challenge---My-ML-Model-
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The Titanic Kaggle competition challenges participants to predict the survival of passengers. I conducted an exploratory data analysis, revealing key predictors like gender, class, age, and embarkation point. I used a stacking ensemble model with 3 base learners and 1 meta-learner. 💻
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