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What is Ensemble Learning Techniques Explained about?

Ensemble learning is a machine learning technique that combines multiple models to improve prediction accuracy and robustness. It includes methods like Bagging, Boosting, and Stacking, which leverage the strengths of different models to reduce bias and variance. While ensemble methods can enhance performance, they also introduce complexity and require careful tuning to avoid overfitting.

Author

Vidhya Venkatesan

Language

EN