My interest in Machine Learning lies particularly in tree-based algorithms. I'm familiar with decision trees and their effectiveness in making predictions. I'm also intrigued by Random Forests, which leverage the power of multiple decision trees for improved accuracy and reduced overfitting. This understanding allows me to delve deeper into ensemble learning techniques and explore their applications in various fields.