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
  ☆1,481Updated 2 years ago
• justmarkham / DAT4
  General Assembly's Data Science course in Washington, DC
  ☆798Updated 4 years ago
• fonnesbeck / statistical-analysis-python-tutorial
  Statistical Data Analysis in Python
  ☆1,612Updated 9 years ago
• masinoa / machine_learning
  Python coded examples and documentation of machine learning algorithms.
  ☆611Updated 4 years ago
• rouseguy / intro2stats
  Introduction to Statistics using Python
  ☆907Updated 4 years ago
• nborwankar / LearnDataScience
  Open Content for self-directed learning in data science
  ☆2,971Updated 2 months ago
• cs109 / 2015lab1
  ☆213Updated 4 years ago
• cs109 / 2014
  Official content for the Fall 2014 Harvard CS109 Data Science course
  ☆318Updated 8 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 / DAT3
  General Assembly's Data Science course in Washington, DC
  ☆664Updated 5 years ago
• justmarkham / DAT8
  General Assembly's 2015 Data Science course in Washington, DC
  ☆1,614Updated last year
• jakevdp / sklearn_pycon2015
  Materials for my Pycon 2015 scikit-learn tutorial.
  ☆895Updated 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.
  ☆311Updated 4 years ago
• ipython-books / cookbook-code
  [DEPRECATED] See the new edition:
  ☆973Updated 7 years ago
• jdwittenauer / ipython-notebooks
  A collection of IPython notebooks covering various topics.
  ☆2,610Updated 4 years ago
• jadianes / data-science-your-way
  Ways of doing Data Science Engineering and Machine Learning in R and Python
  ☆608Updated 4 years ago
• agconti / kaggle-titanic
  A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization…
  ☆915Updated last year
• cs109 / a-2017
  Public Repository for cs109a, 2017 edition
  ☆327Updated last year
• JWarmenhoven / Coursera-Machine-Learning
  Coursera Machine Learning - Python code
  ☆863Updated 4 years ago
• justmarkham / pycon-2016-tutorial
  Machine Learning with Text in scikit-learn
  ☆448Updated 4 years ago
• leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
  Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
  ☆326Updated 2 years ago
• ogrisel / parallel_ml_tutorial
  Tutorial on scikit-learn and IPython for parallel machine learning
  ☆1,596Updated 8 years ago
• amueller / scipy-2016-sklearn
  Scikit-learn tutorial at SciPy2016
  ☆516Updated 6 years ago
• rasbt / algorithms_in_ipython_notebooks
  A repository with IPython notebooks of algorithms implemented in Python.
  ☆513Updated 7 years ago
• learnml / machine-learning-specialization
  ☆576Updated 7 years ago
• jakevdp / sklearn_tutorial
  Materials for my scikit-learn tutorial
  ☆1,794Updated 2 years ago
• sux13 / DataScienceSpCourseNotes
  Compiled Notes for all 9 courses in the Coursera Data Science Specialization
  ☆770Updated 3 years ago
• asadoughi / stat-learning
  Notes and exercise attempts for "An Introduction to Statistical Learning"
  ☆2,142Updated 2 years ago
• justmarkham / scikit-learn-videos
  Jupyter notebooks from the scikit-learn video series
  ☆3,732Updated last year
• AllenDowney / ThinkBayes
  Code repository for Think Bayes.
  ☆1,674Updated 4 years ago