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Machine Learning Interview Questions and Answers

Question: Differentiate between bagging and boosting.
Answer: Bagging (Bootstrap Aggregating) and boosting are ensemble learning techniques. Bagging builds multiple models independently and combines them, while boosting builds models sequentially, giving more weight to misclassified instances.
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