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In summary, both bagging and boosting serve as powerful techniques in ensemble learning, enhancing prediction accuracy and reliability. By understanding their unique methodologies, benefits, and applications, practitioners can better leverage these tools to tackle complex machine learning challenges. Whether you're an aspiring data scientist or an industry professional, staying updated on these techniques is crucial as the field continues to evolve. Continuous learning and upskilling in AI are vital for career advancement in this booming sector, with numerous certification programs available to guide individuals on their professional journey.