I’m trying to study for my Computer Science course and I need some help to understand this question.
A classification technique is a systematic approach to building classification models. Examples include, but are not limited to, decision trees, neural networks, and naïve Bayes and Bayesian approaches.
Examine some data in your workplace, or an organization you are familiar with, that is a candidate for classification. Describe the data under consideration. Which classification technique did you select and why? How can your organization benefit from using this classification model?