shaman
A Node.js library for machine learning with linear regression and k-means clustering algorithms.
What is shaman?
Shaman is a machine learning library for Node.js that implements linear regression and k-means clustering algorithms. It allows developers to build predictive models and perform data clustering directly in JavaScript, supporting both simple and multiple regression with configurable training methods. The library solves the need for accessible statistical modeling tools within the Node.js ecosystem.
Node.js developers and data scientists who need to implement basic machine learning algorithms like regression and clustering in JavaScript without relying on Python or R ecosystems.
Developers choose Shaman for its simplicity and native Node.js integration, offering ready-to-use implementations of fundamental ML algorithms with practical examples and debugging support, reducing the overhead of building these from scratch.
Overview
Machine Learning library for node.js
Use Cases
Best For
- Building simple predictive models like price estimation or trend analysis in Node.js applications
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