Introduction to Ensemble Learning

Ensemble learning is a powerful technique in machine learning that combines multiple individual models to create a stronger and more accurate predictive model. It enhances the performance of the model by aggregating predictions from different models, allowing us to overcome the limitations of individual models and improve overall performance. In this lesson, we’ll explore the concept of ensemble learning, understand its importance, and discover practical applications of this technique.