htastan

htastan's Stars

• CausalAIBook/MetricsMLNotebooks

  Notebooks for Applied Causal Inference Powered by ML and AI

  Language:Jupyter Notebook7438

• easystats/datawizard

  Magic potions to clean and transform your data 🧙

  Language:R21216

• etiennebacher/webscraping-teaching

  Language:HTML10

• Mixtape-Sessions/Causal-Inference-1

  Causal Inference 1 Mixtape Session taught by Scott Cunningham

  Language:TeX234160

• akoksal/BERT-Sentiment-Analysis-Turkish

  Sentiment Analysis with BERT in Turkish Tweets

  Language:Jupyter Notebook12119

• sstoeckl/crypto2

  Cryptocurrency Market Data

  Language:R5323

• cmu-phil/py-tetrad

  Makes algorithms/code in Tetrad available in Python via JPype

  Language:Python5911

• borusyak/are213

  PhD Applied Econometrics class taught at UC Berkeley

  20965

• jrfiedler/causal_inference_python_code

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

  Language:Jupyter Notebook1.2k387

• matteocourthoud/awesome-causal-inference

  A curated list of causal inference libraries, resources, and applications.

  791140

• JoshMerfeld/applied-microeconometrics

  Course website for Ph.D. Applied Microeconometrics at the KDI School.

  Language:HTML11730

• jstac/econometric_theory_slides

  Slides for A Primer in Econometric Theory

  Language:TeX12379

• ababii/midasml

  midasML package is dedicated to run predictive high-dimensional mixed data sampling models

  Language:R4

• weijie-chen/Econometrics-With-Python

  Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly without hustles of derivation and Python codes are straightforward.

  Language:Jupyter Notebook340114

• afshinea/stanford-cs-229-machine-learning

  VIP cheatsheets for Stanford's CS 229 Machine Learning

  17.6k3.9k

• citation-style-language/styles

  Official repository for Citation Style Language (CSL) citation styles.

  Language:Ruby3.3k3.7k

• Soybilgen/CEFIS-Food-Indices

  CEFIS Food Indices

  Language:Python13

• mca91/EconometricsWithR

  📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)

  Language:R472269

• grantmcdermott/quarto-revealjs-clean

  A minimalist and elegant presentation theme for Quarto Reveal.js

  Language:SCSS23238

• proback/BeyondMLR

  Repo for January 2021 version of Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R. The rendered version can be found at: https://bookdown.org/roback/bookdown-BeyondMLR/

  Language:TeX165135

• JanDitzen/xtdcce2

  Estimating Dynamic Common Correlated Effects Models in Stata

  Language:Stata2814

• donskerclass/ComputationalMethodsClass

  Class Materials for 47-809 Computational Methods for Economics at Carnegie Mellon

  Language:Jupyter Notebook7226

• randall-romero/CompEcon

  A Python version of Miranda and Fackler's CompEcon toolbox

  Language:Jupyter Notebook6324

• mcanouil/awesome-quarto

  A curated list of Quarto talks, tools, examples & articles! Contributions welcome!

  1.7k117

• mcreel/NeuralNetsForIndirectInference.jl

  Julia code for indirect inference using statistics filtered by neural net

  Language:MATLAB93

• radiant-rstats/radiant

  Business analytics using R and Shiny. The radiant app combines the menus from radiant.data, radiant.design, radiant.basics, radiant.model, and radiant.multivariate.

  Language:HTML457131

• msu-econ-data-analytics/course-materials

  Language:HTML24372

• fbargaglistoffi/machine-learning-firm-dynamics

  Repository for "Supervised learning for the prediction of firm dynamics"

  62

• EmilHvitfeldt/R-text-data

  List of textual data sources to be used for text mining in R

  14715

• ropensci/rtweet

  🐦 R client for interacting with Twitter's [stream and REST] APIs

  Language:R785201