Question: Explain the concept of ensemble learning and give an example.

Answer: Ensemble learning combines predictions from multiple models to improve overall performance. Random Forest is an example of an ensemble learning algorithm, which aggregates predictions from multiple decision trees.

Example:

A Random Forest model combining predictions from 100 decision trees to enhance accuracy and reduce overfitting.