Tutorial by Examples

Classification in Machine Learning is the problem that identifies to which set of categories does a new observation belong. Classification falls under the category of Supervised Machine Learning. Any algorithm that implements classification is known as classifier The classifiers supported in P...

In classification using PHP-ML we assigned labels to new observation. Regression is almost the same with difference being that the output value is not a class label but a continuous value. It is widely used for predictions and forecasting. PHP-ML supports the following regression algorithms Suppo...

Clustering is about grouping similar objects together. It is widely used for pattern recognition. Clustering comes under unsupervised machine learning, therefore there is no training needed. PHP-ML has support for the following clustering algorithms k-Means dbscan k-Means k-Means separates ...