Alternatives and similar repositories for IntroStatLearning

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

• juanklopper / Python_for_Medical_Statistics
  YouTube course using IPython and Jupyter notebooks to do statistical analysis.
  ☆20Updated 9 years ago
• topepo / APM_Exercises
  Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)
  ☆197Updated 8 years ago
• VBayesLab / deepGLM
  Train deepGLM with Matlab, R and Python
  ☆27Updated 2 years ago
• StatsWithR / statsr
  Companion package for the Coursera Statistics with R specialization
  ☆72Updated 4 years ago
• szilard / teach-data-science-msc-analytics-ceu
  Materials for a short introductory/intermediate Data Science course taught in the MSc in Business Analytics program at the Central Europe…
  ☆33Updated 7 years ago
• khanhnamle1994 / statistical-learning
  Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course
  ☆258Updated 7 years ago
• fdabl / Intro-Stats
  Introductory Workshop to (Bayesian) Statistics
  ☆38Updated 8 years ago
• datacamp / courses-introduction-to-r
  Introduction to R by Jonathan Cornelissen
  ☆138Updated 2 weeks ago
• AM207 / 2018fall
  ☆38Updated 4 years ago
• jasonroy0 / BNP-short-course
  ☆14Updated 6 years ago
• mmarouen / The-Elements-Of-Statistical-Learning
  This repository contains R code for exercices and plots in the famous book.
  ☆46Updated last year
• bcaffo / lm
  A github repo for the advanced linear models for data science book
  ☆51Updated 6 years ago
• TeconomicsBlog / notebooks
  ☆97Updated 7 years ago
• rstats-gsoc / gsoc2017
  R project in Google Summer of Code 2017
  ☆107Updated 7 years ago
• oizin / applied-predictive-modeling
  Exercises and R code related to the book Applied Predictive Modeling by Max Kuhn and Kjell Johnson
  ☆12Updated 9 years ago
• willsmorgan / Introduction-to-Statistical-Learning-Labs
  Documenting ISLR's Labs - Educational Purposes Only
  ☆17Updated 7 years ago
• jtr13 / EDAV
  edav.info/
  ☆54Updated 3 years ago
• tdhopper / intro-to-scikit-learn
  Materials for talk on scikit-learn
  ☆28Updated 9 years ago
• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆63Updated 6 years ago
• rlabbe / statistical-rethinking
  Notebooks containing R code from Richard McElreath's Statistical Rethinking
  ☆72Updated 9 years ago
• eugenedemidenko / advancedstatistics
  Accompanying data for my book Advanced Statistics with Application in R
  ☆24Updated 5 years ago
• eafpres / time_series_analysis
  Review of time series using regression and neural network methods
  ☆33Updated 6 years ago
• justmarkham / dplyr-tutorial
  Tutorials for the dplyr package in R
  ☆163Updated 7 years ago
• harvard-ml-courses / cs181-lectures
  ☆38Updated 6 years ago
• ben18785 / distribution-zoo
  App to view distribution properties and access dynamic code in R, Python, Matlab, Mathematica, Julia and Stan
  ☆87Updated last year
• DS-BootCamp-DSI-Columbia / AY2017-2018-Winter-Collaboratory
  Winter Break Collaboratory DS Boot Camp during the academic year of 2017-2018
  ☆14Updated 7 years ago
• matloff / probstatbook
  Open source textbook in probability and statistics.
  ☆35Updated 2 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 7 years ago
• alanagresti / categorical-data
  Data sets for "An Introduction to Categorical Data Analysis" and "Categorical Data Analysis", 3rd editions
  ☆35Updated 6 years ago
• jhoupt / DBDA2Estan
  Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition
  ☆68Updated 7 years ago