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Academic machine learning project predicting student academic performance for the UdeA AI4ENG Kaggle competition. Implements data cleaning and label encoding with Gradient Boosting, XGBoost, AdaBoost, and CatBoost classifiers in Jupyter Notebooks, using the Kaggle API for data download.

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