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fipi

Automated political text analysis. The machine learning model is trained on data from the https://manifestoproject.wzb.eu/ and uses bag-of-words features to predict political tendencies.

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.

happy-git-with-r

Using Git and GitHub with R, Rstudio, and R Markdown

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

lectures

Lecture notes for EC 607

machine-learning-for-economics-and-finance-in-tensorflow-2

source code

mastering-shiny

Mastering Shiny: a book

masteringmetrics

R code for Angrist & Pischke Mastering Metrics

math-for-macro

Material for a one-week graduate course on mathematical methods for macroeconomics

mbacourse

Material from the Big Data course at Chicago Booth

mgtecon634_py

This tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in the MGTECON 634 at Stanford. Scripts were translated into Python.

mgtecon634_r

This tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in the MGTECON 634 at Stanford.

mixtape

Data and Program files for Causal Inference: The Mixtape

newspapers-clustering

ogcourse_f17

Economic Policy Analysis with Overlapping Generations Models (Autumn 2017)

pic-math-workshop-on-data-science-2022

The PIC Math 2022 Workshop on Data Science

political-bias-paper

Code used to collect news articles, process the text, and train machine learning algorithms to classify each article by their source

political-ideology-detection

Research project to detect political ideology of presidential candidates using their speech. Conducted for Natural Language Processing in Context final exam.

python-for-econometrics-statistics-data-analysis

Code from "Introduction to Python for Econometrics, Statistics and Data Analysis" by Kevin Sheppard

pytrends

Pseudo API for Google Trends

quant-research

A collection of projects published by Bloomberg's Quantitative Finance Research team.

r4ds

R for data science: a book

rmarkdown-book

R Markdown: The Definitive Guide (published by Chapman & Hall/CRC in July 2018)

rmarkdown-cookbook

R Markdown Cookbook. A range of tips and tricks to make better use of R Markdown.

semscale

A tool for Semantic Scaling of Political Text (branch of Topfish, a suite of tools for Political Text Analysis)

specificitytwitter

Censored tweets annotated for specificity

spring-2020

Spring 2020 AEM 7130: Dynamic Optimization/Computational Methods

stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

test_large

twitter-sentiment-analysis

Naive Bayes Classifier implemented using Python-NLTK and Tweepy API.