Random Forests Walkthrough -- Why are they Better than Decision Trees?

Decision trees are pretty powerful algorithms. They are, probably, one of the first non-linear algorithms that you may learn when you get into Data Science and Machine Learning. Decision Trees can work around non-linear patterns and make sense of some of the wildest relationships between target and features. In that sense, they have a huge advantage over linear models such as linear or logistic regressions. While they have this huge ability of capturing more complex relationships of features and target, they are also really prone to overfit.