What is meant by ensemble learning?

Our objective when utilizing Data Science and Machine Learning to construct models is to develop a model that can grasp the underlying trends in the training data and make accurate predictions or classifications. However, some datasets are extremely complex, and it might be challenging for a single model to comprehend the underlying trends in these datasets. In some cases, we merge many unique models to boost performance. This is referred to as ensemble learning.