Random Forest

Ensemble learning is a powerful concept in machine learning that involves combining multiple models to achieve better predictive performance than a single model. By leveraging the strengths of individual models, ensemble techniques can improve accuracy, reduce variance, and enhance generalization. One of the most popular ensemble methods is the Random Forest algorithm. Random Forest, developed … Read more