cs109 / content

Related projects: ⓘ

• cs109 / 2015
  Public material for CS109
  ☆1,478Updated last year
• nborwankar / LearnDataScience
  Open Content for self-directed learning in data science
  ☆2,951Updated 8 months ago
• DrSkippy / Data-Science-45min-Intros
  Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
  ☆1,576Updated 4 years ago
• justmarkham / DAT4
  General Assembly's Data Science course in Washington, DC
  ☆794Updated 3 years ago
• fonnesbeck / statistical-analysis-python-tutorial
  Statistical Data Analysis in Python
  ☆1,578Updated 9 years ago
• cs109 / 2014
  Official content for the Fall 2014 Harvard CS109 Data Science course
  ☆318Updated 7 years ago
• rouseguy / intro2stats
  Introduction to Statistics using Python
  ☆898Updated 3 years ago
• masinoa / machine_learning
  Python coded examples and documentation of machine learning algorithms.
  ☆612Updated 3 years ago
• jakevdp / sklearn_pycon2015
  Materials for my Pycon 2015 scikit-learn tutorial.
  ☆892Updated 3 years ago
• jdwittenauer / ipython-notebooks
  A collection of IPython notebooks covering various topics.
  ☆2,611Updated 3 years ago
• ogrisel / parallel_ml_tutorial
  Tutorial on scikit-learn and IPython for parallel machine learning
  ☆1,591Updated 7 years ago
• chaconnewu / free-data-science-books
  Free resources for learning data science
  ☆2,900Updated 3 months ago
• justmarkham / DAT8
  General Assembly's 2015 Data Science course in Washington, DC
  ☆1,604Updated 3 months ago
• DataScienceSpecialization / courses
  Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
  ☆4,046Updated 3 years ago
• justmarkham / DAT3
  General Assembly's Data Science course in Washington, DC
  ☆659Updated 4 years ago
• jakevdp / sklearn_tutorial
  Materials for my scikit-learn tutorial
  ☆1,765Updated last year
• zacharski / pg2dm-python
  ☆879Updated 3 years ago
• chrisalbon / mlai
  ☆583Updated this week
• cs109 / 2015lab1
  ☆211Updated 3 years ago
• rasbt / pattern_classification
  A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
  ☆4,125Updated 9 months ago
• sux13 / DataScienceSpCourseNotes
  Compiled Notes for all 9 courses in the Coursera Data Science Specialization
  ☆763Updated 2 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.
  ☆308Updated 3 years ago
• jadianes / data-science-your-way
  Ways of doing Data Science Engineering and Machine Learning in R and Python
  ☆595Updated 3 years ago
• JWarmenhoven / ISLR-python
  An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
  ☆4,239Updated last year
• justmarkham / scikit-learn-videos
  Jupyter notebooks from the scikit-learn video series
  ☆3,661Updated 6 months ago
• rushter / data-science-blogs
  A curated list of data science blogs
  ☆6,298Updated 3 months ago
• bcaffo / courses
  Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
  ☆1,859Updated 2 years ago
• ipython-books / cookbook-code
  [DEPRECATED] See the new edition:
  ☆972Updated 6 years ago
• amueller / scipy-2016-sklearn
  Scikit-learn tutorial at SciPy2016
  ☆515Updated 5 years ago
• uwescience / datasci_course_materials
  Public repository for course materials for the Data Science at Scale Specialization at Coursera
  ☆918Updated 2 years ago