Alternatives and similar repositories for content

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

• cs109 / 2015
  Public material for CS109
  ☆1,480Updated 2 years ago
• justmarkham / DAT4
  General Assembly's Data Science course in Washington, DC
  ☆800Updated 4 years ago
• cs109 / 2015lab1
  ☆212Updated 4 years ago
• cs109 / 2014
  Official content for the Fall 2014 Harvard CS109 Data Science course
  ☆318Updated 8 years ago
• nborwankar / LearnDataScience
  Open Content for self-directed learning in data science
  ☆2,977Updated 4 months ago
• masinoa / machine_learning
  Python coded examples and documentation of machine learning algorithms.
  ☆610Updated 5 years ago
• jadianes / data-science-your-way
  Ways of doing Data Science Engineering and Machine Learning in R and Python
  ☆614Updated 4 years ago
• gumption / Python_for_Data_Science
  A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.
  ☆314Updated 5 years ago
• rouseguy / intro2stats
  Introduction to Statistics using Python
  ☆909Updated 4 years ago
• cs109 / a-2017
  Public Repository for cs109a, 2017 edition
  ☆327Updated 2 years ago
• jakevdp / sklearn_tutorial
  Materials for my scikit-learn tutorial
  ☆1,801Updated 2 years ago
• justmarkham / DAT3
  General Assembly's Data Science course in Washington, DC
  ☆664Updated 5 years ago
• DrSkippy / Data-Science-45min-Intros
  Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
  ☆1,592Updated 5 years ago
• justmarkham / pycon-2016-tutorial
  Machine Learning with Text in scikit-learn
  ☆447Updated 4 years ago
• fonnesbeck / statistical-analysis-python-tutorial
  Statistical Data Analysis in Python
  ☆1,693Updated 10 years ago
• amueller / scipy-2016-sklearn
  Scikit-learn tutorial at SciPy2016
  ☆518Updated 6 years ago
• brandon-rhodes / pycon-pandas-tutorial
  PyCon 2015 Pandas tutorial materials
  ☆1,058Updated 8 months ago
• justmarkham / DAT5
  General Assembly's Data Science course in Washington, DC
  ☆185Updated 3 years ago
• jakevdp / sklearn_pycon2015
  Materials for my Pycon 2015 scikit-learn tutorial.
  ☆896Updated 4 years ago
• ogrisel / parallel_ml_tutorial
  Tutorial on scikit-learn and IPython for parallel machine learning
  ☆1,596Updated 8 years ago
• asadoughi / stat-learning
  Notes and exercise attempts for "An Introduction to Statistical Learning"
  ☆2,143Updated 2 years ago
• cs109 / 2018-cs109b
  Harvard CS109b Public Repository
  ☆234Updated 5 years ago
• rasbt / algorithms_in_ipython_notebooks
  A repository with IPython notebooks of algorithms implemented in Python.
  ☆514Updated 8 years ago
• leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
  Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
  ☆328Updated 2 years ago
• JWarmenhoven / Coursera-Machine-Learning
  Coursera Machine Learning - Python code
  ☆865Updated 5 years ago
• zacharski / pg2dm-python
  ☆877Updated 5 years ago
• learnml / machine-learning-specialization
  ☆576Updated 7 years ago
• uwescience / datasci_course_materials
  Public repository for course materials for the Data Science at Scale Specialization at Coursera
  ☆924Updated 3 years ago
• justmarkham / DAT8
  General Assembly's 2015 Data Science course in Washington, DC
  ☆1,615Updated last year
• fonnesbeck / Bios8366
  Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics
  ☆546Updated 2 years ago