This repository is a library of naive methods and structures for performing basic linear algebra calculations. Currently, this is just a library created as a personal exercise in Rust programming by recreating exercises for this Coursera machine learning course, taught by Andrew Ng. Maybe someday I'll refine this into a tool that is fast to implement for high-level tasks.
I am always open to constructive criticism and would love to learn more effecive programming techniques. However, please keep in mind that this is a project I started in my free time, which is often sparse. Thank you.