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 ...

tree-based regression (decision tree, AdaBoost, random forest, bagging), neural network regression, and k-nearest neighbors ...

In the random forests 8 approach, many different decision trees are grown by a randomized tree-building algorithm. The training set is sampled with replacement to produce a modified training set ...

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.

Cognitive jamming decision-making, as one of the critical technologies of CEW, dramatically impacts the global battlefield situation. In this paper, we introduce the A2C algorithm into cognitive ...

Electronic execution desks at banks offer a large number of trading algorithms to clients. These algorithms may differ in the venues they trade on, the speed at which they trade, the aggressiveness of ...

There is a widespread misunderstanding that spiritual study and practice are ‘mystic’ and ‘other-worldly’ and necessary only at the end of life. But the purpose of spirituality is to ...

Making more accurate predictions is the key to investing successfully. AI is a tool well suited to this task, and while it’s ...

An algorithm is a list of rules to follow in order to complete a task or solve a problem. The steps in an algorithm need to be in the right order. Think about an algorithm for getting dressed in ...

Qwant, France's privacy-focused search engine, and Ecosia, a Berlin-based not-for-profit search engine that uses ad revenue ...