Alternatives and similar repositories for Diplomado_PUCP

Users that are interested in Diplomado_PUCP are comparing it to the libraries listed below

• d2cml-ai / CausalAI-Course

  View on GitHub
  Lectures and Tutorials for the Causal AI course
  ☆50Dec 15, 2025Updated 2 months ago
• ManuelLoaizaV / ine018-unmsm

  View on GitHub
  Repositorio del curso Matemática Computacional de la Universidad Nacional Mayor de San Marcos dictado durante los ciclos 2024-1, 2024-2 y…
  ☆16Jul 5, 2025Updated 7 months ago
• alexanderquispe / QLAB_Summer_Python

  View on GitHub
  This is an introduction of Python
  ☆15Jan 22, 2024Updated 2 years ago
• INF-PUCP / inf263-algoritmia-pucp

  View on GitHub
  Repositorio personal del curso Algoritmia de la Pontifica Universidad Católica del Perú dictado durante el ciclo virtual 2020-2.
  ☆15Sep 13, 2025Updated 5 months ago
• alexanderquispe / 14.38_Causal_ML

  View on GitHub
  JupyterNotebook for the MIT course
  ☆16Apr 29, 2025Updated 9 months ago
• juanpalominoh / Curso-Stata-PUCP

  View on GitHub
  Material preparado para las clases y evaluaciones de Stata en la PUCP.
  ☆12Jan 7, 2023Updated 3 years ago
• ljporras / ENDES-INDICADORES-STATA

  View on GitHub
  Sintaxis en Stata para estimar indicadores con la Encuesta Demográfica y de Salud Familiar (ENDES) del Peru.
  ☆24Apr 6, 2024Updated last year
• ljporras / ENAHO-INDICADORES-STATA

  View on GitHub
  Sintaxis en Stata para estimar indicadores con la Encuesta Nacional de Hogares (ENAHO) del Peru.
  ☆17Jul 9, 2024Updated last year
• AlexEvanan / Web-Scraping-Consulta-Amigable-MEF

  View on GitHub
  A Python-based web scraping tool utilizing Selenium to extract financial data from the Peruvian Ministry of Economy and Finance (MEF) web…
  ☆12Nov 24, 2025Updated 2 months ago
• ccsuehara / python_para_las_ccss

  View on GitHub
  Repo que almacena todas las clases.
  ☆21Jan 14, 2026Updated last month
• PeruData / ENAHO

  View on GitHub
  Scrapes and processes ENAHO survey data from INEI (Peruvian government agency).
  ☆32Jan 25, 2026Updated 3 weeks ago
• d2cml-ai / 14.388_py

  View on GitHub
  This material has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and AI …
  ☆18May 5, 2023Updated 2 years ago
• rdahis / paper_template

  View on GitHub
  Template repository for research papers.
  ☆116Nov 2, 2022Updated 3 years ago
• edgeslab / CTL

  View on GitHub
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆67Mar 7, 2024Updated last year
• hoangAnh19 / Books

  View on GitHub
  ☆20Oct 14, 2019Updated 6 years ago
• d2cml-ai / csdid

  View on GitHub
  CSDID
  ☆45Jan 13, 2026Updated last month
• superflash41 / 1inf29-operating-systems

  View on GitHub
  repository for the Operating Systems (1INF29) course at PUCP
  ☆22Dec 5, 2025Updated 2 months ago
• andrewchbaker / DiD_Slides

  View on GitHub
  ☆11Mar 10, 2020Updated 5 years ago
• ImmigrationPolicyLab / rapidresponsesurvey

  View on GitHub
  ☆13Mar 30, 2022Updated 3 years ago
• dlab-berkeley / Geospatial-Fundamentals-in-QGIS

  View on GitHub
  ☆13Mar 8, 2023Updated 2 years ago
• DiegoKoz / Curso_R_EPH_clases

  View on GitHub
  Curso de R para procesamiento de datos de la Encuesta Permanente de Hogares
  ☆13Dec 13, 2018Updated 7 years ago
• lprakash / Sorting-Algorithms

  View on GitHub
  ☆10Mar 2, 2017Updated 8 years ago
• ryali93 / UNMSM_programacion

  View on GitHub
  Curso de programación para la EP Ingeniería Geográfica - UNMSM
  ☆14Jul 8, 2020Updated 5 years ago
• shannonpileggi / pipinghotdata_distill

  View on GitHub
  Personal blog
  ☆14Nov 9, 2025Updated 3 months ago
• rmcondor / rmaps-peruvian-case

  View on GitHub
  This is a tutorial to create maps in R using secondary information of Peru.
  ☆17Sep 30, 2023Updated 2 years ago
• mdroste / stata-pylearn

  View on GitHub
  Supervised learning algorithms in Stata
  ☆45Aug 6, 2020Updated 5 years ago
• ChrisRosales / Sistemas-Operativos

  View on GitHub
  Repositorio del curso de Sistemas Operativos (1INF29)
  ☆24Sep 23, 2025Updated 4 months ago
• andrewchbaker / BaGel

  View on GitHub
  Codes to replicate analysis in Baker & Gelbach (2020)
  ☆11Apr 25, 2020Updated 5 years ago
• d2cml-ai / mgtecon634_py

  View on GitHub
  This tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in t…
  ☆14Jul 21, 2023Updated 2 years ago
• OpportunityInsights / race-and-economic-opportunity

  View on GitHub
  Public Code to Replicate Results in "Race and Economic Opportunity in the United States: An Intergenerational Perspective" (Chetty, Hendr…
  ☆14Feb 19, 2020Updated 5 years ago
• erichuizapucp / programacion-2

  View on GitHub
  Repositorio usado para el curso de programación 2 PUCP - 2024-1
  ☆25Nov 25, 2025Updated 2 months ago
• hermanmichaels / transformer_example

  View on GitHub
  ☆14Jan 7, 2024Updated 2 years ago
• zhangxiang0822 / ShiftShareSEStata

  View on GitHub
  Compute confidence intervals in shift-share designs using procedures from Adão, Kolesár, and Morales (2019)
  ☆13Nov 15, 2024Updated last year
• HoagieT / Factor-Augmented-Vector-Autoregression

  View on GitHub
  An economic forecasting model based on Factor Augmented VAR (FAVAR). The FAVAR approach is superior than classic VAR as it incorporates a…
  ☆15Dec 30, 2020Updated 5 years ago
• worldbank / dime-python-training

  View on GitHub
  DIME's Python Training for advanced R/Stata users
  ☆17Feb 2, 2026Updated 2 weeks ago
• hollina / event_study_graphs

  View on GitHub
  create event study graphs in stata
  ☆13Apr 23, 2021Updated 4 years ago
• QuantEcon / lecture-python-advanced.notebooks

  View on GitHub
  Notebooks that support https://python-advanced.quantecon.org
  ☆19Jan 28, 2026Updated 3 weeks ago
• ronikobrosly / scipy_2023_causal_inference_tutorial

  View on GitHub
  Materials for a proposed Causal Inference Tutorial session at SciPy 2023
  ☆12Jul 8, 2023Updated 2 years ago
• d2cml-ai / 14.388_r

  View on GitHub
  This Jupyterbook has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and …
  ☆14May 5, 2023Updated 2 years ago