yusukeaoki1223,yaoki,github

machine-learning-with-python

Python code for common Machine Learning Algorithms

maeshoridaizen

前処理大全[データ分析のためのSQL/R/Python実践テクニック] 大型本 – 2018/4/13

matchingr

Algorithms for Matching Markets in R and C++

micro-metrics

This is a 2nd Year PhD Course In Micro-econometrics

mirandafackler.notebooks

Jupyter Notebooks for Miranda and Fackler

mlogit

:exclamation: This is a read-only mirror of the CRAN R package repository. mlogit — multinomial logit model. Homepage: http://www.r-project.org

User-written MATLAB code/solutions for the chapter exercises in Microeconometrics and MATLAB: An Introduction by Adams, Clarke and Quinn (2015). Solutions are unverified and sometimes incomplete. Authors' code is necessary in some files (http://www.microeconometrics-code.com/code/). Comments welcome at [email protected]

monetary-economics

Implementation of the models from "Monetary Economics 2e" by Godley and Lavoie, 2012

montecarlo_statistics

本「モンテカルロ統計計算」の練習

mostly-harmless-replication

Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.

npurproject

http://randpy.hatenablog.com/

nyu_macro_fall_2018

Course notes for the first half of ECON-GA 1025 – Macroeconomic Theory I, Fall Semester 2018

occupationcoder

Given a job title and job description, the algorithm assigns a standard occupational classification (SOC) code to the job.

option_montecalro

parallelization_experiments

phd_workshops

2017 QuantEcon PhD Workshops on Computational Economics

planout

PlanOut is a library and interpreter for designing online experiments.

poly_base

Python version of Miranda and Fackler's CompEcon toolbox for solving heterogenous agents models

probabilistic-programming-and-bayesian-methods-for-hackers

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 ;)