Alternatives and similar repositories for data-science-your-way:

Users that are interested in data-science-your-way are comparing it to the libraries listed below

• rouseguy / intro2stats
  Introduction to Statistics using Python
  ☆903Updated 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
• DrSkippy / Data-Science-45min-Intros
  Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
  ☆1,582Updated 5 years ago
• leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
  Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
  ☆320Updated last year
• justmarkham / DAT3
  General Assembly's Data Science course in Washington, DC
  ☆663Updated 4 years ago
• nborwankar / LearnDataScience
  Open Content for self-directed learning in data science
  ☆2,968Updated last year
• masinoa / machine_learning
  Python coded examples and documentation of machine learning algorithms.
  ☆613Updated 4 years ago
• justmarkham / DAT7
  General Assembly's Data Science course in Washington, DC
  ☆232Updated 6 months ago
• justmarkham / pycon-2016-tutorial
  Machine Learning with Text in scikit-learn
  ☆442Updated 3 years ago
• cs109 / 2014
  Official content for the Fall 2014 Harvard CS109 Data Science course
  ☆317Updated 7 years ago
• justmarkham / DAT8
  General Assembly's 2015 Data Science course in Washington, DC
  ☆1,605Updated 7 months ago
• amitkaps / hackermath
  Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
  ☆1,446Updated 7 years ago
• jadianes / spark-py-notebooks
  Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
  ☆1,640Updated 10 months ago
• ogrisel / parallel_ml_tutorial
  Tutorial on scikit-learn and IPython for parallel machine learning
  ☆1,593Updated 8 years ago
• justmarkham / DAT4
  General Assembly's Data Science course in Washington, DC
  ☆798Updated 3 years ago
• fonnesbeck / statistical-analysis-python-tutorial
  Statistical Data Analysis in Python
  ☆1,594Updated 9 years ago
• gmonce / scikit-learn-book
  Source code for the "Learning scikit-learn: Machine Learning in Python"
  ☆393Updated 5 years ago
• ogrisel / notebooks
  Some sample IPython notebooks for scikit-learn
  ☆565Updated last year
• ipython-books / cookbook-code
  [DEPRECATED] See the new edition:
  ☆974Updated 6 years ago
• jakevdp / sklearn_tutorial
  Materials for my scikit-learn tutorial
  ☆1,775Updated last year
• ledell / useR-machine-learning-tutorial
  useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
  ☆401Updated 6 years ago
• datasciencemasters / data
  Open Data Sources
  ☆507Updated 6 years ago
• ben519 / DataWrangling
  The ultimate reference guide to data wrangling with Python and R
  ☆240Updated 2 years ago
• jakevdp / sklearn_scipy2013
  Scikit-learn tutorials for the Scipy 2013 conference
  ☆325Updated 7 years ago
• tdpetrou / Learn-Pandas
  Tutorials on how to use pandas effectively to do data analysis
  ☆1,107Updated 2 years ago
• rhiever / python-data-visualization-course
  Course materials for teaching data visualization in Python.
  ☆170Updated 8 years ago
• DataTau / datascience-anthology-pydata
  PyData, The Complete Works of
  ☆298Updated 8 years ago
• rcompton / ml_cheat_sheet
  My notes and superstitions about common machine learning algorithms
  ☆365Updated 7 years ago