ayalhassan

ayalhassan's Stars

• israeldi/quantlab

  This repo is for building the website for University of Michigan Quant Lab Workshops

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• eehh-stanford/SNA-workshop

  Webpage materials for AAPA network workshop

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• ayalhassan/egocentric-r-book

  Bookdown project for workshop on egocentric network analysis with R

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• mahoffman/css

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

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• ruettenauer/summer-institute

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• rmcelreath/stat_rethinking_2022

  Statistical Rethinking course winter 2022

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• ine-rmotr-curriculum/ds-content-python-under-10-minutes

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• ericmjl/Network-Analysis-Made-Simple

  An introduction to network analysis and applied graph theory using Python and NetworkX

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• jakevdp/PythonDataScienceHandbook

  Python Data Science Handbook: full text in Jupyter Notebooks

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• djnavarro/rbook

  Source files for "Learning Statistics with R"

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• ayalhassan/rbook

  Source files for "Learning Statistics with R"

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• baruuum/intro_to_stats_2019

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• ayalhassan/phdplus

  A repository for the UVA Library Research Data Services PhD Plus Module Data Science Essentials in R

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• rasbt/stat451-machine-learning-fs20

  STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)

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• AntoineSoetewey/statsandr

  A blog on statistics and R aiming at helping academics and professionals working with data to grasp important concepts in statistics and to apply them in R. See www.statsandr.com

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• avehtari/BDA_course_Aalto

  Bayesian Data Analysis course at Aalto

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• ai-da-SNA/ai-da-SNA.github.io

  AI+DA - Social Network Analysis page

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• VennMaker/vennmaker-source

  VennMaker source code

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• nxskok/markpaper

  how to write an academic paper using R Markdown

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• nxskok/pasias

  Problems and solutions in applied statistics

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• karpathy/neuraltalk2

  Efficient Image Captioning code in Torch, runs on GPU

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• kolaczyk/sand

  Statistical Analysis of Network Data with R, 2nd Edition

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• carpentries/workshop-template

  The Carpentries Workshop Template

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• s-canchi/2020-08-18-USDA

  SWC Workshop at USDA

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• datacarpentry/r-socialsci

  R for Social Scientists

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• ayalhassan/r-novice-gapminder

  R for Reproducible Scientific Analysis

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• ropensci/historydata

  Datasets for Historians

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• laderast/r-bootcamp

  Draft Tutorial for self directed bootcamp for learning R-programming basics.

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• berkeley-scf/r-bootcamp-fall-2020

  Materials for the August 2020 virtual R bootcamp at UC Berkeley. See below (under the listing of files) for information about the bootcamp, including logistics, how to get the course content, and how to install the software you need for the bootcamp on your laptop.

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• berkeley-scf/r-bootcamp-2018

  Materials for the 2018 R bootcamp at UC Berkeley. See below (under the listing of files) for information about the bootcamp, including logistics, how to get the course content, and how to install the software you need for the bootcamp on your laptop.

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