linear-transformations

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…

An app for visualize linear transformations in 3 dimensions.

Open source machine learning library with various machine learning tools

COT5615 Math for Intelligent Systems Fall 2019

Here is the content of ML committe in season 2025

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

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.

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

Visualizes the linear transformation represented by a 2x2 matrix

Group project that performs linear transformations on images

Vector Spaces, Linear Independence, Linear Transformations, Matrix Operations, Eigenvectors, Covariance Matrix, PCA, Kernel trick, Eigenfaces, Cluster Analysis

Digital image manipulation using Numpy

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.

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

This repository archives bilingual lecture notes for a computer linear algebra course, covering vectors and matrices, linear equations, vector spaces and subspaces, orthogonality and least squares, determinants, eigenvalues, the singular value decomposition, linear transformations, and optimization based on Strang's Introduction to Linear Algebra.

Visualizador de Transformaciones Lineales

Visualize Linear Transformations in 2D

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