Machine Learning Interview Questions and Answers

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Question - What is Bagging and Boosting?

Answer -

Bagging is a process in ensemble learning which is used for improving unstable estimation or classification schemes.
Boosting methods are used sequentially to reduce the bias of the combined model.

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