Alternatives and similar repositories for DAT8

Users that are interested in DAT8 are comparing it to the libraries listed below

• rouseguy / intro2stats
  Introduction to Statistics using Python
  ☆914Updated 5 years ago
• cs109 / 2015
  Public material for CS109
  ☆1,487Updated 3 years ago
• DrSkippy / Data-Science-45min-Intros
  Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
  ☆1,592Updated 6 years ago
• justmarkham / DAT4
  General Assembly's Data Science course in Washington, DC
  ☆801Updated 4 years ago
• amitkaps / hackermath
  Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
  ☆1,460Updated 8 years ago
• nborwankar / LearnDataScience
  Open Content for self-directed learning in data science
  ☆2,986Updated 7 months ago
• justmarkham / DAT3
  General Assembly's Data Science course in Washington, DC
  ☆665Updated 5 years ago
• jadianes / data-science-your-way
  Ways of doing Data Science Engineering and Machine Learning in R and Python
  ☆620Updated 4 years ago
• rushter / data-science-blogs
  A curated list of data science blogs
  ☆6,374Updated last year
• masinoa / machine_learning
  Python coded examples and documentation of machine learning algorithms.
  ☆610Updated 5 years ago
• jakevdp / sklearn_pycon2015
  Materials for my Pycon 2015 scikit-learn tutorial.
  ☆898Updated 5 years ago
• justmarkham / pycon-2016-tutorial
  Machine Learning with Text in scikit-learn
  ☆447Updated 4 years ago
• jdwittenauer / ipython-notebooks
  A collection of IPython notebooks covering various topics.
  ☆2,610Updated 5 years ago
• amueller / scipy-2016-sklearn
  Scikit-learn tutorial at SciPy2016
  ☆518Updated 6 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.
  ☆318Updated 5 years ago
• ogrisel / parallel_ml_tutorial
  Tutorial on scikit-learn and IPython for parallel machine learning
  ☆1,599Updated 9 years ago
• cs109 / content
  Official content for Harvard CS109
  ☆1,788Updated 3 years ago
• markdregan / Bayesian-Modelling-in-Python
  A python tutorial on bayesian modeling techniques (PyMC3)
  ☆2,508Updated 8 years ago
• tdpetrou / Learn-Pandas
  Tutorials on how to use pandas effectively to do data analysis
  ☆1,113Updated 3 years ago
• amueller / scipy_2015_sklearn_tutorial
  Scikit-Learn tutorial material for Scipy 2015
  ☆576Updated 10 years ago
• cs109 / 2014
  Official content for the Fall 2014 Harvard CS109 Data Science course
  ☆319Updated 8 years ago
• fonnesbeck / statistical-analysis-python-tutorial
  Statistical Data Analysis in Python
  ☆1,722Updated 10 years ago
• rasbt / pattern_classification
  A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
  ☆4,209Updated 2 years ago
• brandon-rhodes / pycon-pandas-tutorial
  PyCon 2015 Pandas tutorial materials
  ☆1,065Updated 11 months ago
• justmarkham / DAT5
  General Assembly's Data Science course in Washington, DC
  ☆185Updated 3 years ago
• jakevdp / sklearn_tutorial
  Materials for my scikit-learn tutorial
  ☆1,820Updated 2 years ago
• rasbt / algorithms_in_ipython_notebooks
  A repository with IPython notebooks of algorithms implemented in Python.
  ☆514Updated 8 years ago
• mavam / stat-cookbook
  The probability and statistics cookbook
  ☆2,293Updated 2 years ago
• uwescience / datasci_course_materials
  Public repository for course materials for the Data Science at Scale Specialization at Coursera
  ☆923Updated 4 years ago
• ipython-books / cookbook-code
  [DEPRECATED] See the new edition:
  ☆972Updated 7 years ago