The technique of ensemble learning in machine learning combines the predictions from multiple models to improve performance. Ensemble learning's core concept is that multiple models working together can achieve greater accuracy and generalization. This approach is gaining popularity both in academic and industrial applications because it reduces errors, minimizes overfitting and...