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adversarial-tradecraft-in-cybersecurity

A repo to support the book

ai-for-beginners

12 Weeks, 24 Lessons, AI for All!

aima-exercises

Exercises for the book Artificial Intelligence: A Modern Approach

appliedmathforsecuritybook

awesome-math

A curated list of awesome mathematics resources

awesome-quincy-larson-emails

This repository is an archive of emails that are sent by the awesome Quincy Larson every week.

build-an-octapi

carnac

A utility to give some insight into how you use your keyboard

causal_salad_2021

One day course on causal inference, MPI-EVA 9 September 2021

copilot-docs

Documentation for GitHub Copilot

covid-19-the-economist-global-excess-deaths-model

The Economist's model to estimate excess deaths to the covid-19 pandemic

cpp_games

Learn C++ with games

cs-video-courses

List of Computer Science courses with video lectures.

data-engineering-zoomcamp

Free Data Engineering course!

data-science-at-the-command-line

Data Science at the Command Line

datasciencetoolbox

Complete environments for busy polyglot data scientists

deepmreye

Main model and preprocessing code

def-guide-to-sqlite-10

Source code for 'The Definitive Guide to SQLite' by Grant Allen and Mike Owens

efficientr

Efficient R programming: a book

elementsofdatascience

An introduction to data science in Python, for people with no programming experience.

emacs-from-scratch

An example of a fully custom Emacs configuration developed live on YouTube!

emacs-training

Emacs training

faster

Fast Lane to Learning R!

faststat

Quick introduction to statistics for those with a probability background.

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

getting-started-in-r

An 8 page guide to starting with R - Tidyverse Edition

ggthemes

Additional themes, scales, and geoms for ggplot2

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

image

Computer Vision and Image Recognition algorithms for R users

impractical_python_projects

Code & supporting files for chapters in book