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207-applied-machine-learning-projects

agentbasedmodels

causal_inference_python_code

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

causaldiscoverytoolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

causalml

A course on causal machine learning.

causaltree

Working repository for Causal Tree and extensions

computer-vision

congresstweets

Datasets of the daily Twitter output of Congress.

data

ethics-and-algorithms-in-public-policy

fake-repo

federalregister

R client library for the U.S. Federal Register API

governors-election-data_1974_1998

Election returns for US governors from 1974-1998

h1b_visa_eda

Data Exploration on H-1B Visa dataset

ischool

ist-652

ist-652-scripting-for-data-analysis

Code from live sessions for IST 652.

ljanastas.github.io

Web

misc_data

models

Models and examples built with TensorFlow

optimization

Demonstrations of various ML optimization methods such as gradient descent, stochastic gradient descent and backpropagation.

padp9200-big-data

Big Data and Public Policy -OR- Machine Learning, Artificial Intelligence and the Administrative State

poir613

Course materials: POIR 613 - Computational Social Science - USC Fall 2017

pols-4150

Introduction to Research Methods in Political Science at the University of Georgia

pols-4150-quatitative-methods

pols8500_applied_machine_learning

POLS 8500: Applied Machine Learning at the University of Georgia (L. Jason Anastasopoulos)

princeton_wws586a-machine-learning-policy-analysis

Materials from my Princeton University course WWS586A: Machine Learning for Policy Analysis

r_tools

Random tools in R

ranger

:exclamation: This is a read-only mirror of the CRAN R package repository. ranger — A Fast Implementation of Random Forests. Homepage: https://github.com/imbs-hl/ranger Report bugs for this package: https://github.com/imbs-hl/ranger/issues

socialmedia