Index of useful repos.
This repo here is intended as a quick reference for markdown.
A curated list of resources dedicated to reinforcement learning. here
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course. here
A collection of awesome penetration testing resources, tools and other shiny things. here
Teaching materials for the probabilistic graphical models and deep learning classes at Stanford. here
Practical exercises for HOW Series "Deep Dive", a Web-based training on parallel programming and performance optimization here
Course materials for the Data Science Specialization. here
Materials here
Python Data Science Handbook: full text in Jupyter Notebooks. here
EDx DAT210x soulutions here
Notebooks and code for the book. here
The Leek group guide to data sharing. here
List of Udacity Nanodegree programs with links to the free courses in their curricula. here
EDx course - solutions here
Course Materials here
An open-source textbook written at the college level. OpenIntro also offers a second college-level intro stat textbook and also a high school variant. here