Alternatives and similar repositories for DAT3:

Users that are interested in DAT3 are comparing it to the libraries listed below

• cs109 / 2014
  Official content for the Fall 2014 Harvard CS109 Data Science course
  ☆318Updated 8 years ago
• chaconnewu / free-data-science-books
  Free resources for learning data science
  ☆2,957Updated 11 months ago
• nborwankar / LearnDataScience
  Open Content for self-directed learning in data science
  ☆2,968Updated last year
• leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
  Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
  ☆324Updated 2 years ago
• DrSkippy / Data-Science-45min-Intros
  Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
  ☆1,588Updated 5 years ago
• sux13 / DataScienceSpCourseNotes
  Compiled Notes for all 9 courses in the Coursera Data Science Specialization
  ☆772Updated 3 years ago
• jadianes / data-science-your-way
  Ways of doing Data Science Engineering and Machine Learning in R and Python
  ☆608Updated 4 years ago
• justmarkham / DAT7
  General Assembly's Data Science course in Washington, DC
  ☆233Updated 10 months ago
• justmarkham / pycon-2016-tutorial
  Machine Learning with Text in scikit-learn
  ☆444Updated 3 years ago
• justmarkham / DAT4
  General Assembly's Data Science course in Washington, DC
  ☆798Updated 4 years ago
• justmarkham / DAT5
  General Assembly's Data Science course in Washington, DC
  ☆185Updated 2 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
• masinoa / machine_learning
  Python coded examples and documentation of machine learning algorithms.
  ☆611Updated 4 years ago
• fonnesbeck / statistical-analysis-python-tutorial
  Statistical Data Analysis in Python
  ☆1,607Updated 9 years ago
• justmarkham / DAT8
  General Assembly's 2015 Data Science course in Washington, DC
  ☆1,614Updated 11 months ago
• DataScienceSpecialization / DataScienceSpecialization.github.io
  http://DataScienceSpecialization.github.io
  ☆1,638Updated 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
  ☆1,592Updated 8 years ago
• asadoughi / stat-learning
  Notes and exercise attempts for "An Introduction to Statistical Learning"
  ☆2,143Updated 2 years ago
• jtleek / dataanalysis
  The lecture slides for Coursera's Data Analysis class
  ☆767Updated 9 years ago
• gkamradt / Lessons-Learned-Data-Science-Interviews
  Lessons learned the hard way through over 30+ data science interviews
  ☆225Updated 4 years ago
• bcaffo / LittleInferenceBook
  A book for the coursera statistical inference class
  ☆381Updated 3 years ago
• cs109 / 2015lab1
  ☆213Updated 3 years ago
• rouseguy / intro2stats
  Introduction to Statistics using Python
  ☆904Updated 4 years ago
• jakevdp / sklearn_scipy2013
  Scikit-learn tutorials for the Scipy 2013 conference
  ☆325Updated 7 years ago
• ipython-books / cookbook-code
  [DEPRECATED] See the new edition:
  ☆971Updated 6 years ago
• jakevdp / sklearn_pycon2015
  Materials for my Pycon 2015 scikit-learn tutorial.
  ☆896Updated 4 years ago
• sujitpal / statlearning-notebooks
  Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
  ☆379Updated 9 years ago
• culturedbun / pandas-exercises
  Walkthrough exercises from PandasTutorial by Wes McKinney.
  ☆150Updated 4 years ago
• cs109 / 2015
  Public material for CS109
  ☆1,480Updated 2 years ago