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Data Science > Learn Data Science > Explain the concept of bagging and boosting in ensemble...
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Explain the concept of bagging and boosting in ensemble learning.

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Bagging is used to reduce the variance of weak learners. Boosting is used to reduce the bias of weak learners. Stacking is used to improve the overall accuracy of strong learners.
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