PHPML

PHPML is a machine learning library for PHP. It provides a collection of algorithms and tools for data mining and machine learning tasks within the PHP ecosystem. The library aims to make machine learning accessible to PHP developers by offering a familiar programming language interface.

Key features of PHPML include implementations of various supervised and unsupervised learning algorithms. This encompasses algorithms such as linear regression, logistic regression, support vector machines, k-nearest neighbors, and k-means clustering. It also supports preprocessing techniques like data standardization and normalization, which are crucial steps in preparing data for machine learning models.

PHPML allows developers to train models, make predictions, and evaluate model performance. It is designed to be straightforward to use, enabling developers to integrate machine learning capabilities into their PHP applications without requiring deep expertise in other programming languages traditionally associated with machine learning. The library is open-source and hosted on platforms like GitHub, encouraging community contributions and development. While not as extensive as mature machine learning libraries in languages like Python or R, PHPML serves as a valuable resource for PHP developers looking to experiment with or implement machine learning functionalities in their web applications and other PHP-based projects.