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Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
All course materials for the Zero to Mastery Machine Learning and Data Science course.
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 ski…
Massively parallel rigidbody physics simulation on accelerator hardware.
Tutorials and information on the Julia language for MIT numerical-computation courses.
Statistical Rethinking (2nd ed.) with NumPyro
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly wit…
Jupyter code notebooks of "ChatGPT Prompt Engineering for Developers" by DeepLearning.AI and OpenAI.
Jupyter notebooks for Dynamics and Control
BSHR "Basher" Loop: Brainstorm, Search, Hypothesize, Refine
PyDy tutorial materials for MASB 2014, PYCON 2014, and SciPy 2014/2015.
A visually intuitive take on Fourier Transform based on a youtube video by 3Blue1Brown
Introduction to Python: Numerical Analysis for Engineers and Scientist. In 2017, Python became the world's most popular programming language. This course covers the basic syntax, linear algebra, pl…
Python tutorials as Jupyter Notebooks for NLP, ML, AI
Repository to store all the Python Textbook Companions.
Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis…
Bayesian Statistics-Econometrics
demotu / BMC
Forked from BMClab/BMCNotes on Scientific Computing for Biomechanics and Motor Control
This repo contains ChatGPT tutorials about data science, machine learning, deep learning, Python. We show how to use Chat GPT with examples.
Hands-on data analysis using a computational approach and real-life applications.
Tour of the dynamics of change and motion using computational thinking with Python
Simple Cheat Sheets I've Made While Learning Data Science At Lambda
Regular expression concepts with code examples
Jupyter notebooks for the teaching of mechanics
Few mechanical engineering calculations using python. Mainly, use Jupyter Notebook/JupyterLab.