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.

Three C++ projects assigned for the Numerical Methods for Electrical Engineering (EE 242) course in the Spring 2021 semester.

The code for generalized eigenvalue problem

A library providing modules with easy to use matrix operations for real(8) and complex(8) arrays

Imperial College London »Mathematics for Machine Learning«. A sequence of 3 courses on the prerequisite mathematics for applications in data science and machine learning. (1) Linear Algebra (2) Multivariate Calculus and (3) Principal Component Analysis (completed Sept. 10th, 2018)

Linear Algebra Step by Step by Kuldeep Singh. Solved step by step through LaTeX

ForEig - A Fortran library for eigenvalue and eigenvector calculations.

This is official github repo for CVPR2026 Main Track paper "ERMoE: Eigen-Reparameterized Mixture-of-Experts for Stable Routing and Interpretable Specialization"

Visualize linear algebra concepts.

Course project designed as TA for Linear Algebra, utilizing Markov Chains to model economic dynamics.

Project written in C++ on basic simulations of eigenstates of the Hamiltonian in the One Dimensional Schrödinger Equation for common potential functions

The software is an implementation of the enriched subspace iteration method for solving the generalized eigenvalue problems.

HDMR_EXT: High-Dimensional Model Representation with Extended Bases in MATLAB and Python

A PyGame simulation of the motion over time for an interconnected mass-spring-system with n masses

Lanczos program for large sparse Hermitian matrices (Fortran 95 with C99 interface)

Fortran 90/95 adaptation of a couple of EISPACK Fortran 77 routines

I developed a mathematical and computational model to analyze the long-term viability of Silverleaf sunflowers (Helianthus argophyllus), a rare perennial species facing population decline, using Lefkovitch age-structured matrices & golden-ratio seed density estimation.

Solving Eigenvalue problem with Jacobi Rotation Algorithm

In this project, I've used College/University data to perform Principal Component Analysis and provide its implications to the business