Alternatives and similar repositories for sklearn_pycon2015:

Users that are interested in sklearn_pycon2015 are comparing it to the libraries listed below

• amueller / scipy-2016-sklearn
  Scikit-learn tutorial at SciPy2016
  ☆516Updated 6 years ago
• masinoa / machine_learning
  Python coded examples and documentation of machine learning algorithms.
  ☆612Updated 4 years ago
• ogrisel / parallel_ml_tutorial
  Tutorial on scikit-learn and IPython for parallel machine learning
  ☆1,590Updated 8 years ago
• amueller / scipy_2015_sklearn_tutorial
  Scikit-Learn tutorial material for Scipy 2015
  ☆574Updated 9 years ago
• justmarkham / DAT4
  General Assembly's Data Science course in Washington, DC
  ☆799Updated 4 years ago
• gmonce / scikit-learn-book
  Source code for the "Learning scikit-learn: Machine Learning in Python"
  ☆395Updated 5 years ago
• jakevdp / sklearn_scipy2013
  Scikit-learn tutorials for the Scipy 2013 conference
  ☆325Updated 7 years ago
• jakevdp / sklearn_tutorial
  Materials for my scikit-learn tutorial
  ☆1,786Updated last year
• DrSkippy / Data-Science-45min-Intros
  Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
  ☆1,586Updated 5 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
• cs109 / 2014
  Official content for the Fall 2014 Harvard CS109 Data Science course
  ☆317Updated 8 years ago
• ogrisel / notebooks
  Some sample IPython notebooks for scikit-learn
  ☆567Updated last year
• ipython-books / cookbook-code
  [DEPRECATED] See the new edition:
  ☆970Updated 6 years ago
• justmarkham / pycon-2016-tutorial
  Machine Learning with Text in scikit-learn
  ☆443Updated 3 years ago
• rasbt / algorithms_in_ipython_notebooks
  A repository with IPython notebooks of algorithms implemented in Python.
  ☆509Updated 7 years ago
• rouseguy / intro2stats
  Introduction to Statistics using Python
  ☆905Updated 4 years ago
• sujitpal / statlearning-notebooks
  Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
  ☆378Updated 9 years ago
• amueller / scipy-2017-sklearn
  Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
  ☆285Updated 7 years ago
• andersbll / deeppy
  Deep learning in Python
  ☆1,378Updated 4 years ago
• justmarkham / DAT7
  General Assembly's Data Science course in Washington, DC
  ☆232Updated 9 months ago
• jaberg / IPythonTheanoTutorials
  ☆196Updated 12 years ago
• rlabbe / ThinkBayes
  Jupyter Notebooks derived from Allen Downey's book Think Bayes.
  ☆395Updated 9 years ago
• savarin / pyconuk-introtutorial
  practical introduction to Python for machine learning, with pandas and scikit-learn - Sept 2014
  ☆283Updated 3 years ago
• nborwankar / LearnDataScience
  Open Content for self-directed learning in data science
  ☆2,966Updated last year
• justmarkham / DAT3
  General Assembly's Data Science course in Washington, DC
  ☆662Updated 4 years ago
• fonnesbeck / statistical-analysis-python-tutorial
  Statistical Data Analysis in Python
  ☆1,603Updated 9 years ago
• addfor / tutorials
  ☆411Updated 7 years ago
• pymc-devs / pymc2
  THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:
  ☆880Updated 4 years ago
• justmarkham / DAT8
  General Assembly's 2015 Data Science course in Washington, DC
  ☆1,608Updated 9 months ago
• rcompton / ml_cheat_sheet
  My notes and superstitions about common machine learning algorithms
  ☆365Updated 7 years ago