Answer Posted / Dhananjay Kumar Rai

Ensemble methods are useful in reducing overfitting and improving the predictive performance of machine learning models. For instance, Random Forests can be employed for classification problems with large datasets and complex decision boundaries. Gradient Boosting Machines (GBM) can also be utilized for regression tasks requiring high accuracy.

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