Ethan Zhao's Projects
pandas学习课程代码仓库
Bayesian Analysis with Python by Packt
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
A collection of Dynare models
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Elegant LaTeX Template for Working Papers
Collection of notebooks about quantitative finance, with interactive python code.
高校教职坑
Over 200 terminal color schemes/themes for iTerm/iTerm2. Includes ports to Terminal, Konsole, PuTTY, Xresources, XRDB, Remmina, Termite, XFCE, Tilda, FreeBSD VT, Terminator, Kitty, MobaXterm, LXTerminal, Microsoft's Windows Terminal, Visual Studio
This is a LaTeX Beamer class style that uses the official VT color palette and provides example code for Beamer class presentations. Go Hokies!
Learn regex the easy way
My blogs and code for machine learning. http://cnblogs.com/pinard
Economics 421 - Econometrics @ MIT
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
Jupyter notebooks authored by Richard Evans
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 ;)
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
store python code
A Repository of Notebooks for the Python Lecture Site
A community based Python library for quantitative economics
Quantitative Economics
PyMC3 educational resources
Lectures on scientific computing with python, as IPython notebooks.
手写实现李航《统计学习方法》书中全部算法
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"
Statsmodels: statistical modeling and econometrics in Python