Tatiana Mathis, MBA's Projects
This is a repository for the LinkedIn Learning course Advanced Python: Working With Data
A curated list of modern Generative Artificial Intelligence projects and services
A bunch of different projects that someone starting in python can do
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
Deep learning notebooks. Jupyter notebooks with reading notes from the Deep Learning textbook.
A sample project that uses docker-compose and traefik for HTTP ingress, including Let's Encrypt certs.
:dolphin: A comprehensive tutorial on getting started with Docker!
Production-ready fullstack but simple mail server (SMTP, IMAP, LDAP, Antispam, Antivirus, etc.) running inside a container.
Pretty simple Discord bot to get the active developer badge
Useful templates and working document for implementing ISO 27001 - ISMS
This repository is for the Linkedin Learning course: JavaScript Essential Training
Scripts for starting a jupter notebook in a container on a remote docker host
A next-generation crawling and spidering framework.
Short tutorial on linear programming
Inference code for LLaMA models
Analyze market research data to uncover key insights into financial behaviors across demographic segments. This Jupyter Notebook explores age, social class, and gender correlations, delivers compelling visualizations, and validates findings with statistical tests. A real-world project designed to guide targeted financial services.
a cheat-sheet for mathematical notation in code form
Jupyter notebooks with exercises for the No bullshit guide to linear algebra.
Extra lessons, tutorials, and missions for readers of the No Bullshit Guide to Mathematics.
Lessons and missions to accomany the Chapter 2 and 4 of the No Bullshit Guide to Math & Physics (a.k.a. No Bullshit Guide to Mechanics)
Hands-on tutorials, exercises, and projects to accompany the No Bullshit Guide to Statistics
This repo is for the Linkedin Learning Course: Python Essential Training
This is a repository for the LinkedIn Learning course Python Object-Oriented Programming
Programming exercises for learning Q# and quantum computing
A tutorial that shows the powerful capabilities of the computer algebra system SymPy for solving problems of high school math, calculus, mechanics, vectors, and linear algebra problems.