Each and every tree looks at distinctive random elements of the data and their final results are mixed by voting for classification or averaging for regression. This can help in strengthening accuracy and decreasing errors.Self-Supervised Learning: Self-supervised learning is often regarded as a subset of unsupervised learning, nonetheless it has g