mljs/random-forest

The **ml‑random‑forest** library brings a Random Forest implementation to JavaScript for both classification and regression tasks, exposing a simple train‑predict API backed by configurable hyper‑parameters. It’s ideal for developers building lightweight machine‑learning models in the browser or Node without external dependencies, such as students, prototypers, or engineers needing quick, extensible decision‑forest functions in ML‑oriented projects.