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
• masinoa / machine_learning
  Python coded examples and documentation of machine learning algorithms.
  ☆612Updated 4 years ago
• nborwankar / LearnDataScience
  Open Content for self-directed learning in data science
  ☆2,966Updated last year
• cs109 / 2014
  Official content for the Fall 2014 Harvard CS109 Data Science course
  ☆317Updated 8 years ago
• cs109 / 2015lab1
  ☆213Updated 3 years ago
• fonnesbeck / statistical-analysis-python-tutorial
  Statistical Data Analysis in Python
  ☆1,603Updated 9 years ago
• DrSkippy / Data-Science-45min-Intros
  Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
  ☆1,586Updated 5 years ago
• jakevdp / sklearn_tutorial
  Materials for my scikit-learn tutorial
  ☆1,786Updated 2 years ago
• rouseguy / intro2stats
  Introduction to Statistics using Python
  ☆905Updated 4 years ago
• justmarkham / DAT3
  General Assembly's Data Science course in Washington, DC
  ☆662Updated 4 years ago
• chaconnewu / free-data-science-books
  Free resources for learning data science
  ☆2,941Updated 9 months ago
• jadianes / data-science-your-way
  Ways of doing Data Science Engineering and Machine Learning in R and Python
  ☆603Updated 3 years ago
• culturedbun / pandas-exercises
  Walkthrough exercises from PandasTutorial by Wes McKinney.
  ☆149Updated 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.
  ☆310Updated 4 years ago
• ogrisel / parallel_ml_tutorial
  Tutorial on scikit-learn and IPython for parallel machine learning
  ☆1,590Updated 8 years ago
• cs109 / a-2017
  Public Repository for cs109a, 2017 edition
  ☆325Updated last year
• justmarkham / DAT4
  General Assembly's Data Science course in Washington, DC
  ☆799Updated 4 years ago
• rasbt / algorithms_in_ipython_notebooks
  A repository with IPython notebooks of algorithms implemented in Python.
  ☆509Updated 7 years ago
• sujitpal / statlearning-notebooks
  Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
  ☆378Updated 9 years ago
• ipython-books / cookbook-code
  [DEPRECATED] See the new edition:
  ☆970Updated 6 years ago
• briandalessandro / DataScienceCourse
  This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
  ☆753Updated 4 years ago
• tdpetrou / Learn-Pandas
  Tutorials on how to use pandas effectively to do data analysis
  ☆1,106Updated 2 years ago
• jonathan-bower / DataScienceResources
  Open Source Data Science Resources.
  ☆4,142Updated last year
• justmarkham / DAT8
  General Assembly's 2015 Data Science course in Washington, DC
  ☆1,608Updated 9 months ago
• justmarkham / pycon-2016-tutorial
  Machine Learning with Text in scikit-learn
  ☆443Updated 3 years ago
• AllenDowney / ThinkBayes
  Code repository for Think Bayes.
  ☆1,664Updated 4 years ago
• cs109 / 2018-cs109b
  Harvard CS109b Public Repository
  ☆234Updated 4 years ago
• oreillymedia / doing_data_science
  This is the example code repository for Doing Data Science by Cathy O'Neil and Rachel Schutt (O'Reilly Media)
  ☆489Updated 2 years ago
• leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
  Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
  ☆323Updated last year
• jrjohansson / scientific-python-lectures
  Lectures on scientific computing with python, as IPython notebooks.
  ☆3,539Updated last year