Most popular in the family of ensemble models is the Random Forest: an ensemble made by the combination of a large number of decision trees.

In traditional software delivery methods, the estimates are measured in terms of man days or calendar days. The Agile teams use Story...

Decision Trees are a non-parametric supervised learning method used for classification and regression. The goal is to create a model that pr

A regression model has to be as simple as possible, but no simpler. Simpler models are more generalizable and require fewer training...