Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assis…

This Repository contains Solutions to the Quizes & Lab Assignments of the Mathematics for Machine Learning Specialization offered by Imperial College of London on Coursera taught by David Dye, Samuel J. Cooper, A. Freddie Page, Marc Peter Deisenroth

Autodiff is a numerical library for the Go programming language that supports automatic differentiation. It implements routines for linear algebra (vector/matrix operations), numerical optimization and statistics

Pan-sharpening in the Earth Engine code editor

Numerical analysis course in Python

A parallelized implementation of Principal Component Analysis (PCA) using Singular Value Decomposition (SVD) in OpenMP for C. The procedure used is Modified Gram Schmidt algorithm. The method for Classical Gram Schmidt is also available for use.

📶 Digital Communication (ELC325B) Assignments Solutions

matrix decomposition from scratch for matrix analysis and analysis course capstone of ucas

📶 Digital Communication (ELC325B) Assignments Solutions

Assignments solutions for the Digital Communication Course taught at Cairo University. (Requirements document included for each assignment)

A python package to generate orthogonal functions for regression

Collection of step-by-step programming exercises to introduce students to the applications of linear algebra.

Python implementation of GGH and GGH-HNF lattice-based cryptosystems for research and educational purposes, featuring cryptanalysis tools and a hybrid variant.

This repository contains topics and codes related to Machine Learning and Data Science, especially in Python

A series of MATLAB functions for performing Gram Schmidt and other vector operations. Also produces 3D plots.

Gram-Schmidt Algorithm calculator. Useful for many linear algebra applications. It features a GUI allowing for convenient and easy usage.

Numerical Methods for Ill-Conditioned Matrices - A project with Hilbert Matrix

Main goal of the project is to create aa application GUI to represent the LLL lattice reduction algorithm. GUI createdin Net beans ide 8.2. Project language level 13

Implementation of Laplace expansion(solves for determinant/inverse), Gram-Schmidt, and QR algorithms with a Swing calculator

Compilation of the assignments of the course of COL726: Numerical Algorithms (Spring 2021) and their solutions