Classification Engines
Classification is the process of predicting the class of given data points. It is a fundamental data science method and one of the most basic models used in supervised learning.
Supervised learning
Supervised learning is when models are trained with available and labeled data, this allows the model to predict, classify and sort based on a set of features. It helps companies solve a variety of real-world problems at scale, such as classifying spam in a separate folder in the mailbox.
Unsupervised learning
Unsupervised learning is used to analyze and cluster unlabeled datasets to discover similarities and differences in information. This makes it the ideal solution for cross-selling strategies, customer segmentation, and image recognition.
We can use Classification Engines in various applications, such as target marketing, credit approval, or medical diagnosis. It is applied to diverse sectors, such as e-Commerce, Retail, Banking, Telecom, Healthcare, etc.