Your question is Boosting vs Bagging. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
Tell me about boosting versus bagging and when you would use each.
Explain how the methods differ in training procedure, bias and variance, sensitivity to noise, interpretability, and computational requirements. Using a supplied labeled tabular dataset, implement one representative bagging model and one representative boosting model, evaluate both with cross-validation and a held-out test set, and justify the final model choice.