Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.

Nim MAtrix NUmeric package

:abacus: A Numeric Matrix Processor / Calculator. Made while bunking online CS Classes. Totally worth it !

Computing matrix determinant using permutations (exploring with Heap's Algorithm)

Vectors, matrices, linear equations, Gaussian elimination, vector geometry with dot product and vector product, determinants, vector spaces, linear independence, bases, change of basis, linear transformations, the least-squares method, eigenvalues, eigenvectors, quadratic forms, orthogonality, inner-product space, Gram-Schmidt's method.

💬 Basics of Vectors

A random sample of 534 workers from the Current Population Survey (CPS) from 1985.

Determinants of the player's overall score in FIFA22

A simple web app to calculate determinants

A 15 part study guide for undergraduate students learning Linear Algebra

Applied Linear Algebra - 7th Semester

Useful code for CMPS3500 at CSUB