Classification with H2O

Learn the fundamentals of classification modeling and its implementation using the H2O package.

Introduction to classification models

Classification models are machine learning algorithms that learn to classify data into predefined categories or classes based on patterns and relationships within the data. They use various mathematical techniques such as statistical algorithms, decision trees, and neural networks. In mathematical terms, they map input variables (x) to output variables (y) and return an item from a discrete set of options, making a “true or false” decision or picking one option out of a few. This relationship is most commonly represented as:

Get hands-on with 1200+ tech skills courses.