Alternatives and similar repositories for stat-learning

Users that are interested in stat-learning are comparing it to the libraries listed below

• JWarmenhoven / ISLR-python
  An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
  ☆4,381Updated 3 years ago
• jilmun / ISLR
  Student Solutions to An Introduction to Statistical Learning with Applications in R
  ☆204Updated 4 years ago
• sux13 / DataScienceSpCourseNotes
  Compiled Notes for all 9 courses in the Coursera Data Science Specialization
  ☆773Updated 3 years ago
• cs109 / content
  Official content for Harvard CS109
  ☆1,788Updated 3 years ago
• cs109 / 2015
  Public material for CS109
  ☆1,486Updated 3 years ago
• jcrouser / islr-python
  ☆110Updated 4 years ago
• thomas-haslwanter / statsintro_python
  Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"
  ☆883Updated 4 years ago
• hal3 / ciml
  A Course in Machine Learning
  ☆908Updated 2 years ago
• briandalessandro / DataScienceCourse
  This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
  ☆757Updated 5 years ago
• davidrosenberg / mlcourse
  Machine learning course materials.
  ☆577Updated 2 years ago
• DataScienceSpecialization / courses
  Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
  ☆4,112Updated 4 years ago
• bcaffo / courses
  Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
  ☆1,886Updated 3 years ago
• andrewgbruce / statistics-for-data-scientists
  Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"
  ☆1,202Updated 3 years ago
• fonnesbeck / Bios8366
  Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics
  ☆549Updated 3 years ago
• rouseguy / intro2stats
  Introduction to Statistics using Python
  ☆913Updated 5 years ago
• justmarkham / DAT3
  General Assembly's Data Science course in Washington, DC
  ☆665Updated 5 years ago
• DataScienceSpecialization / DataScienceSpecialization.github.io
  http://DataScienceSpecialization.github.io
  ☆1,642Updated 5 years ago
• nborwankar / LearnDataScience
  Open Content for self-directed learning in data science
  ☆2,984Updated 7 months ago
• avehtari / BDA_py_demos
  Bayesian Data Analysis demos for Python
  ☆1,036Updated 3 months ago
• emredjan / ISL-python
  Porting the R code in ISL to python. Labs and exercises
  ☆203Updated 3 years ago
• empathy87 / The-Elements-of-Statistical-Learning-Python-Notebooks
  A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
  ☆907Updated 4 years ago
• justmarkham / DAT4
  General Assembly's Data Science course in Washington, DC
  ☆801Updated 4 years ago
• OpenIntroStat / openintro-statistics
  📚 An open-source textbook written at the college level. OpenIntro also offers a second college-level intro stat textbook and also a high…
  ☆437Updated last year
• bcaffo / LittleInferenceBook
  A book for the coursera statistical inference class
  ☆386Updated 3 years ago
• learnml / machine-learning-specialization
  ☆575Updated 7 years ago
• tdpetrou / Machine-Learning-Books-With-Python
  Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
  ☆939Updated 3 years ago
• maitbayev / the-elements-of-statistical-learning
  My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…
  ☆422Updated 3 months ago
• ujjwalkarn / DataScienceR
  a curated list of R tutorials for Data Science, NLP and Machine Learning
  ☆2,070Updated 2 years ago
• unpingco / Python-for-Probability-Statistics-and-Machine-Learning
  Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
  ☆791Updated 3 years ago
• cs109 / 2015lab1
  ☆214Updated 4 years ago