How do random forest and decision-trees algorithms work? Explain these algorithms in layman terms

Data Science, AI and ML
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#1

Random forest and Decision-trees algorithm

#2

Random forest, like its name implies, consists of a large number of individual decision trees that operate as an ensemble. Each individual tree in the random forest spits out a class prediction and the class with the most votes becomes our model’s prediction.