Projects
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IBM HR Analytics Employees Attrition & Performance
A data science project that predicts employee attrition using real-world HR data. Tackles imbalanced datasets using SMOTE and Class Weights, explains predictions with SHAP and Permutation Importance, and evaluates performance with Precision-Recall curves. Built with business level relevance and accuracy.
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Titanic-ML
This Titanic Survical Prediction project applies Supervised Machine Learning to predict passenger survival from the Titanic dataset. It focuses on practical data preprocessing, binary classification, and foundational model evaluation.
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