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Intro
Matt Harrison explains the power of XGBoost in classification models, discusses scenarios where XGBoost may not be the best choice, covers hyperparameters for optimal training, suggests Python libraries for XGBoost tasks, and shares practices for communicating results to non-technical stakeholders.