jerodriguezs

jerodriguezs's Stars

• practical-tutorials/project-based-learning

  Curated list of project-based tutorials

  210k3.1k18627.5k

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python196k5.9k1.5k46.1k

• Avik-Jain/100-Days-Of-ML-Code

  100 Days of ML Coding

  45.9k2.4k010.7k

• Asabeneh/30-Days-Of-Python

  30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

  Language:Python43.7k8261398.3k

• zhiwehu/Python-programming-exercises

  100+ Python challenging programming exercises

  27.1k828856.9k

• trekhleb/learn-python

  📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

  Language:Python16.5k740392.7k

• mmistakes/minimal-mistakes

  :triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

  Language:HTML12.6k1121.3k25.9k

• dabeaz-course/practical-python

  Practical Python Programming (course by @dabeaz)

  Language:Python10k342816.6k

• lrberge/fixest

  Fixed-effects estimations

  Language:R384848961

• synth-inference/synthdid

  Synthetic difference in differences

  Language:R273127098

• LOST-STATS/lost-stats.github.io

  Source code for the Library of Statistical Techniques

  Language:Python2691144170

• kolesarm/539b

  (Advanced) Applied Econometrics

  2616053

• borusyak/are213

  PhD Applied Econometrics class taught at UC Berkeley

  2514072

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

  Language:HTML2448177

• asjadnaqvi/stata-schemepack

  Here you will find various ready-to-use Stata schemes.

  Language:Stata19710748

• Mixtape-Sessions/Machine-Learning

  Machine Learning and Causal Inference taught by Brigham Frandsen

  Language:Jupyter Notebook1916289

• grantmcdermott/lecturenotes

  My lecture notes Rmd template

  Language:TeX1248435

• matteocourthoud/Blog-Posts

  Code and notebooks for my Medium blog posts

  Language:Jupyter Notebook11510958

• matteocourthoud/Machine-Learning-for-Economic-Analysis

  Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH

  Language:Jupyter Notebook806133

• Daniel-Pailanir/sdid

  Synthetic Difference in Differences for Stata

  Language:Stata7643137

• MasaAsami/pysynthdid

  Synthetic difference in differences for Python

  Language:Jupyter Notebook713526

• gslab-econ/ra-manual-archived

  6915914

• jonathandroth/pretrends

  R package for power calculations and visualization for pre-trends tests

  Language:R564611

• sm-miller/RDD

  Language:TeX544019

• sm-miller/DiffNDiff

  Language:TeX501018

• Mixtape-Sessions/Regression-Discontinuity

  Regression Discontinuity Mixtape Track taught by Rocio Titiunik

  Language:Stata457036

• sm-miller/RCT

  Language:TeX421016

• pgmj/RstudioQuartoIntro

  A brief intro course on reproducible data analysis with Quarto and R

  Language:JavaScript11101

• OpenSDP/cleaning-raw-data-stata

  Language:Stata8303

• nignatiadis/noise-induced-randomization-paper

  Reproduction code for paper "Noise-induces randomization in regression discontinuity designs"

  Language:R120