Definition: Decision tree analysis involves making a tree-shaped diagram to chart out a course of action or a statistical probability analysis. It is used to break down complex problems or branches.
Decision trees, such as C4.5 (ref. 1), CART 2 and newer variants, are classifiers that predict class labels for data items. Decision trees are at their heart a fairly simple type of classifier ...
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports ...
This repository showcases projects from the Data Mining course at UNAM, Mexico. It includes analyses of customer behavior, sales transactions, and a sequence-to-sequence model for text generation ...