lachlandeer

lachlandeer's Stars

• python-poetry/poetry

  Python packaging and dependency management made easy

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• ombharatiya/FAANG-Coding-Interview-Questions

  A curated List of Coding Questions Asked in FAANG Interviews

  2.3k4215650

• seeingtheory/Seeing-Theory

  A visual introduction to probability and statistics.

  Language:HTML1.9k8637307

• facebookexperimental/Robyn

  Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

  Language:Jupyter Notebook1.2k61739351

• IndrajeetPatil/statsExpressions

  Tidy data frames and expressions with statistical summaries 📜

  Language:R312810720

• stnavdeev/econometrics

  Slides for the PhD level course in Econometrics at the Tinbergen Institute, Amsterdam

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• Mixtape-Sessions/Advanced-DID

  Advanced Differnce-in-Differences Mixtape Track taught by Jonathan Roth

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• yangycpku/macro_ML

  Course Website on Macroeconomic Analysis with Machine Learning and Big Data

  1137054

• skhiggins/R_guide

  R instructions for our research projects

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• DickBrus/SpatialSamplingwithR

  Open source book: Spatial sampling with R

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• rstudio-conf-2022/causal-inference-rstats

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• borusyak/shift-share

  Replication package and code for "Quasi-Experimental Shift-Share Designs"

  Language:Stata644135

• lucashusted/pystout

  A Package To Make Publication Quality Latex Tables From Python Regression Output

  Language:Python434712

• TommyJones/tidylda

  Implements an algorithim for Latent Dirichlet Allocation using style conventions from the [tidyverse](https://style.tidyverse.org/) and [tidymodels](https://tidymodels.github.io/model-implementation-principles/index.html).

  Language:R416663

• grantmcdermott/rstudio-compute-engine

  RStudio Server on Google Compute Engine

  346010

• pablobarbera/POIR613-2021

  Course materials: POIR 613 - Computational Social Science - USC Fall 2021

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• afeld/python-public-policy

  Python for Public Policy course

  Language:Jupyter Notebook3051814

• hollina/scul

  R package for the Synthetic Control Using Lasso (SCUL) estimator from Hollingsworth and Wing (2020)

  Language:R22438

• shuo-zhang-ucsb/did_multiplegt

  Estimation in sharp Difference-in-Difference designs with multiple groups and periods

  Language:R201317

• jms202/AddaAndCooper

  Code to solve exercises from Adda and Cooper's "Dynamic Economics" book

  Language:Python173013

• OU-PhD-Econometrics/fall-2022

  Materials for PhD level structural econometrics course

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• mahoffman/social_network_analysis

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• cjbarrie/sicss_22

  Repository for SICSS-Edinburgh, 2022 teaching materials

  Language:JavaScript12205

• gvegayon/appliedsnar

  A collection of notes about applied Net Sci with R

  Language:TeX11113

• joshday/Spacy.jl

  Get up and running with Python's spaCy inside Julia

  Language:Julia1140

• moskalev/texression

  A python class to generate simple LaTeX regression tables

  Language:Python10001

• monika76five/Data-Confidentiality

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• lucashusted/pytrendex

  Code to generate a Google Trends Index

  Language:Python5123

• mahoffman/css

  Course materials for SOC10: Introduction to Computational Social Science at Stanford

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• jlsutherland/columbia-phd-startup

  Quickstart kit for new Columbia Polisci PhD students.

  Language:PowerShell2301