Mathematics for Machine Learning Specialization

QSD's MVC study.

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)

This repository contains a comprehensive collection of mathematical concepts and techniques relevant to various fields of AI, including ML, DL & other areas.It also includes the corresponding source code for all programming tasks associated with the Mathematics for Machine Learning courses, which are taught at Coursera by Imperial College London.

Code to visualize function F(x,y) in 3D space, heat map, contour lines along with line integral visualization

Effective HP calculator turned multivariable regression experiment

3d Vector Field Art Tool

ICL's Mathematics for Machine Learning specialization, Python assignments.

Final Project for Harvard University CS-207 Fall 2022

Creating a neural network from scratch without the use of libraries like TensorFlow, Keras, PyTorch, etc. Only using python math libraries.

Numerical methods and calculator written in C. (Integration and differentiation of several variables and more!). Ultimately turning into a math library at this point with support for multivariable operations. Much thanks to the creator of TinyExpr for ease of expression parsing

My exploration into Multivariable Calculus translated to code.

Solutions to Multivariable Calculus by Don Shimamoto | Solved step by step through LaTeX

project report

As part of my multi-variable calculus course, I solved a problem and demonstrated my steps using LaTeX & Overleaf!

Multivariable Calculus Final Project

Interactive two variable function grapher

My Collection of Certificates!

A calculus focused computer algebra system in Rust.