zacharski / pg2dm-python

Related projects ⓘ

Alternatives and complementary repositories for pg2dm-python

• masinoa / machine_learning
  Python coded examples and documentation of machine learning algorithms.
  ☆613Updated 4 years ago
• jdwittenauer / ipython-notebooks
  A collection of IPython notebooks covering various topics.
  ☆2,611Updated 4 years ago
• justmarkham / DAT4
  General Assembly's Data Science course in Washington, DC
  ☆796Updated 3 years ago
• cs109 / 2014
  Official content for the Fall 2014 Harvard CS109 Data Science course
  ☆317Updated 7 years ago
• AllenDowney / ThinkBayes
  Code repository for Think Bayes.
  ☆1,649Updated 3 years ago
• amueller / scipy-2016-sklearn
  Scikit-learn tutorial at SciPy2016
  ☆514Updated 5 years ago
• rasbt / deep-learning-book
  Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
  ☆2,786Updated 4 years ago
• rouseguy / intro2stats
  Introduction to Statistics using Python
  ☆899Updated 4 years ago
• gmonce / scikit-learn-book
  Source code for the "Learning scikit-learn: Machine Learning in Python"
  ☆393Updated 5 years ago
• sujitpal / statlearning-notebooks
  Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
  ☆376Updated 9 years ago
• ptwobrussell / Mining-the-Social-Web-2nd-Edition
  The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)
  ☆2,899Updated 2 years ago
• uwescience / datasci_course_materials
  Public repository for course materials for the Data Science at Scale Specialization at Coursera
  ☆917Updated 3 years ago
• llSourcell / The_Math_of_Intelligence
  This is the Syllabus for Siraj Raval's new course "The Math of Intelligence"
  ☆395Updated 7 years ago
• cs109 / content
  Official content for Harvard CS109
  ☆1,765Updated last year
• jadianes / data-science-your-way
  Ways of doing Data Science Engineering and Machine Learning in R and Python
  ☆594Updated 3 years ago
• justmarkham / pycon-2016-tutorial
  Machine Learning with Text in scikit-learn
  ☆442Updated 3 years ago
• luispedro / BuildingMachineLearningSystemsWithPython
  Source Code for the book Building Machine Learning Systems with Python
  ☆2,115Updated 3 years ago
• jakevdp / sklearn_pycon2015
  Materials for my Pycon 2015 scikit-learn tutorial.
  ☆895Updated 4 years ago
• amueller / scipy_2015_sklearn_tutorial
  Scikit-Learn tutorial material for Scipy 2015
  ☆576Updated 9 years ago
• justmarkham / DAT7
  General Assembly's Data Science course in Washington, DC
  ☆232Updated 5 months ago
• justmarkham / DAT8
  General Assembly's 2015 Data Science course in Washington, DC
  ☆1,607Updated 5 months ago
• rlabbe / ThinkBayes
  Jupyter Notebooks derived from Allen Downey's book Think Bayes.
  ☆395Updated 8 years ago
• cs109 / 2015
  Public material for CS109
  ☆1,477Updated last year
• gumption / Python_for_Data_Science
  A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.
  ☆309Updated 4 years ago
• jakevdp / sklearn_tutorial
  Materials for my scikit-learn tutorial
  ☆1,769Updated last year
• hal3 / ciml
  A Course in Machine Learning
  ☆894Updated last year
• krasserm / machine-learning-notebooks
  Stanford Machine Learning course exercises implemented with scikit-learn
  ☆341Updated 4 years ago
• ipython-books / minibook-2nd-code
  Code of the IPython Minibook, 2nd edition (2015)
  ☆344Updated 4 years ago