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…

Open source machine learning library with various machine learning tools

An app for visualize linear transformations in 3 dimensions.

COT5615 Math for Intelligent Systems Fall 2019

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.

Digital image manipulation using Numpy

Group project that performs linear transformations on images

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

Created by Mehmet Zahid Genç

Visualizador de Transformaciones Lineales

Review the mathematics that comprise Artificial Neural Networks, apply linear transformations in Python, and build a logistic regression model with Keras

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

Linear Algebra Lab on Transformation Matrices by Taras Yaroshko, Anastasiia Petrovych and Yurii Zinchuk

R programming - Statistical Modelling II

A linear algebraic library. Includes Trigonometric, matrices, inner-product-spaces, general-vector-spaces, euclidean-vector-spaces, vectors in 2 and 3 spaces and linear transformations.

Solving linear systems, matrices, determinants, vector spaces, bases, linear transformations, eigenvectors, norms, inner products, decompositions, applications.