aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Your new Mentor for Data Science E-Learning.
Toturials coming with the "data science roadmap" picture.
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Text and supporting code for Think Stats, 2nd Edition
Book_5_《统计至简》 | 鸢尾花书:从加减乘除到机器学习;上架!
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
A complete course for learning Bitcoin programming and usage from the command
Code repository for O'Reilly book
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Quantitative analysis, strategies and backtests
Introduction to Statistics using Python
open source E-book on statistical physics
- statistical-physics
- statistical-mechanics