mljs (https://github.com/mljs/ml) is a comprehensive JavaScript library tailored for scientific research and data analysis within the ML (machine learning) domain. Hosted on GitHub, this library serves as a valuable resource for developers and scientists working primarily in web technologies. It provides a wide array of tools and functions to facilitate the implementation of various machine learning algorithms.Key features of mljs include:- A diverse collection of machine learning algorithms such as regression, classification, clustering, and data preprocessing tools.\n- Utilities for matrix and vector operations, which are fundamental for numerical computations associated with machine learning tasks.\n- Compatibility with modern web technologies, allowing easy integration with JavaScript applications and online data analysis platforms.\n- An open-source framework, encouraging community contributions and collaborative improvements.Designed to be both user-friendly and versatile, mljs is ideal for developers who want to embed machine learning capabilities directly into JavaScript applications, enhancing functionality and enabling innovative data-driven technologies.