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ensembling-methods

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This project aims to develop a machine learning pipeline to predict thyroid cancer based on patient data. The dataset was sourced from multiple public repositories, cleaned, and merged to create a comprehensive dataset for modeling. Various classification algorithms were implemented, including Random Forest, Logistic Regression, K-Nearest Neighbors

  • Updated Sep 27, 2025
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