Discriminant analysis methods can be good candidates to address such problems. These methods are supervised, so they include label information. The goal is to find directions on which the data is best separable. One of the very wellknown discriminant analysis method is the Linear Discriminant Analysis. Linear Discriminant Analysis (LDA) is most …

Linear Algebra library in GDScript for Godot Engine. Also available as C++ GDNative plugin!

This gives steady state Network Flow from the given Pref-Defined Network Flow of a System. And a Python implementation of Larry Page's famous PageRank algorithm.

A TypeScript matrix math library @matrixlab.ts

In this repository you can find all of my assignments for Fundamentals of Programming Course when I was in 1st semester of my bachelor's at IAUSTB.

Lecture notes, assignments, and other materials for a one-semester introductory course on topics in linear algebra and computer science applications thereof.

Basic introduction to linear algebra applied to data analysis, implemented with a Pluto notebook

Linear Algebra,statistics and data science topics

A reimplementation of the map.m demonstration program.

♻️ Python library to experiment with Linear Algebra concepts (work in progress)