Alternatives and similar repositories for linear_programming

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

• fditraglia / Econ103Public
  Public files for Econ 103
  ☆14Updated 2 years ago
• fdabl / Intro-Stats
  Introductory Workshop to (Bayesian) Statistics
  ☆38Updated 8 years ago
• randyzwitch / juliacon2015
  Everyday Analytics and Visualization - JuliaCon 2015
  ☆10Updated 9 years ago
• nanw16 / RstanWorkflow
  We would like create Bayesian workflows following "A quick-start introduction to Stan for economists" by Jim Savage for all example model…
  ☆16Updated 8 years ago
• fonnesbeck / ngcm_pandas_2017
  Python data analysis course for 2017 NGCM Summer Academy
  ☆21Updated 8 years ago
• khakieconomics / StanEcon
  Discussion for Stan for economists
  ☆10Updated 9 years ago
• NYUDataBootcamp / Materials
  Materials used in class when teaching Data Bootcamp at NYU Stern.
  ☆26Updated 7 years ago
• mhoehle / hoehleatsu.github.io
  ☆10Updated last year
• robjhyndman / ForecastingWorkshop
  Slides for 3-day forecasting workshop
  ☆19Updated 7 years ago
• rlabbe / statistical-rethinking
  Notebooks containing R code from Richard McElreath's Statistical Rethinking
  ☆72Updated 9 years ago
• AmeliaMN / DS_for_S
  Materials for March 12 ENAR short course on Data Science for Statisticians
  ☆47Updated 8 years ago
• mine-cetinkaya-rundel / ds-ed-enar2018
  Slides and materials for the "Teaching Data Science at All Levels" invited session at ENAR 2018
  ☆20Updated 7 years ago
• OpenSDP / OpenSDPsynthR
  Codebase to generate simulated data for OpenSDP project
  ☆16Updated 5 years ago
• Rmadillo / business_intelligence_with_r
  Repo for Leanpub Book, "Business Intelligence with R"
  ☆27Updated 8 years ago
• GoranMilovanovic / Introduction-to-R-for-Data-Science
  Introduction to R for Data Science, Data Science Serbia + Startit Center, Belgrade, Autumn 2016.
  ☆11Updated 6 years ago
• CenterForPeaceAndSecurityStudies / IntroductiontoMachineLearning
  Course Materials for Introduction to Machine Learning, Rex W. Douglass 2018
  ☆19Updated 7 years ago
• Amherst-Statistics / JSM2016-thinkwithR
  JSM 2016 talk: Thinking with Data using R and RStudio: powerful idioms for analysts
  ☆23Updated 9 years ago
• ijlyttle / user2016_knitr
  Examples used for useR! 2016 knitr tutorial
  ☆15Updated 9 years ago
• szilard / kaggle-scripts-R-pydata
  Kaggle scripts: R vs pydata + most popular R and Python packages for Machine Learning
  ☆11Updated 8 years ago
• WLOGSolutions / digital_champions_deeplearning_r_mxnet
  Showcase for using R + MXNET along with AWS and bitfusion for deep learning.
  ☆19Updated 7 years ago
• dmbates / stat692
  Materials for Statistics 692 at UW-Madison, Fall 2014
  ☆16Updated 9 years ago
• mine-cetinkaya-rundel / sta101_sp15
  Course materials for Sta 101 - Spring 2015 semester at Duke University
  ☆11Updated 10 years ago
• WSU-DataScience / SDSS19-dataviz-workshop
  ☆11Updated 6 years ago
• mine-cetinkaya-rundel / dss_computing_bootcamp
  Computing and reproducibility bootcamp for Duke StatSci graduate students.
  ☆11Updated 8 years ago
• bsouhaib / tsexplore
  Time Series Feature Extraction and Visualization
  ☆10Updated 8 years ago
• alexhanna / nyu-shortcourse
  NYU Shortcourse -- "Data Science and Social Science" materials
  ☆38Updated 6 years ago
• johnmyleswhite / r_squared
  Code for blog post on r-squared
  ☆13Updated 9 years ago
• AlexRieber / datascience-teaching
  Here we host the lecture notes and problem sets for the "Projektkurs Data Science & Business Analytics" at Ulm University
  ☆18Updated 4 years ago
• ayalaallon / prepdat
  Preparing Experimental Data for Statistical Analysis
  ☆16Updated 6 years ago
• JimDuggan / CT5102
  Programming for Data Analytics Module @NUI Galway
  ☆13Updated last year