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335_agricultural-indicator-curation

This repository includes code for constructing a variety of agricultural development indicators from household survey microdata (primarily LSMS-ISA surveys) as well as documentation for construction decisions across instruments.

agrodata

Agri_Data

benchmark-stata-r

Speed benchmark of Stata and R on common data manipulations

btc_data

causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

causalinference_crashcourse

Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks

code_snippets

covid-19_global_time_series_panel_data

d2l-en

An interactive deep learning book with code, math, and discussions, based on the NumPy interface.

dagitty

Graphical analysis of structural causal models / graphical causal models.

data-science-cheatsheet

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

datasciencecoursera

My Data Science Cousera Repo

datasharing

The Leek group guide to data sharing

doubleml-for-py

DoubleML - Double Machine Learning in Python

econml

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.

elasticregress

Stata implementation of the Friedman, Hastie and Tibshirani (2010, JStatSoft) coordinate descent algorithm for elastic net regression

ethiopia

Repository containing Stata and R code for processing World Bank LSMS data.

europe-champions-league

Free open public domain football data for Champions League (incl. Qualifiers), Europa League / Europe

finance

Here you can find all the quantitative finance algorithms that I've worked on and refined over the past year!

firsttest-

flasky

Companion code to my O'Reilly book "Flask Web Development", second edition.

github-slideshow

A robot powered training repository :robot:

grf

Generalized Random Forests

handson-ml

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

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.

honestdid

Robust inference in difference-in-differences and event study designs

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

lime

Lime: Explaining the predictions of any machine learning classifier

machine-learning-with-python

Python code for common Machine Learning Algorithms