Alternatives and similar repositories for pg2dm-python

Users that are interested in pg2dm-python are comparing it to the libraries listed below

• justmarkham / DAT4
  General Assembly's Data Science course in Washington, DC
  ☆801Updated 4 years ago
• gmonce / scikit-learn-book
  Source code for the "Learning scikit-learn: Machine Learning in Python"
  ☆396Updated 6 years ago
• amueller / scipy-2016-sklearn
  Scikit-learn tutorial at SciPy2016
  ☆518Updated 6 years ago
• jakevdp / sklearn_pycon2015
  Materials for my Pycon 2015 scikit-learn tutorial.
  ☆897Updated 5 years ago
• masinoa / machine_learning
  Python coded examples and documentation of machine learning algorithms.
  ☆610Updated 5 years ago
• cs109 / 2015
  Public material for CS109
  ☆1,481Updated 2 years ago
• jadianes / data-science-your-way
  Ways of doing Data Science Engineering and Machine Learning in R and Python
  ☆615Updated 4 years ago
• oreillymedia / doing_data_science
  This is the example code repository for Doing Data Science by Cathy O'Neil and Rachel Schutt (O'Reilly Media)
  ☆492Updated 2 years ago
• thoughtfulml / examples-in-python
  ☆347Updated last year
• arthur-e / Programming-Collective-Intelligence
  Examples from Programming Collective Intelligence
  ☆357Updated 4 years ago
• cs109 / 2014
  Official content for the Fall 2014 Harvard CS109 Data Science course
  ☆318Updated 8 years ago
• cs109 / content
  Official content for Harvard CS109
  ☆1,782Updated 2 years ago
• cs109 / 2015lab1
  ☆212Updated 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.
  ☆315Updated 5 years ago
• brinkar / real-world-machine-learning
  Code accompanying the Real-World Machine Learning book
  ☆327Updated 8 years ago
• ogrisel / parallel_ml_tutorial
  Tutorial on scikit-learn and IPython for parallel machine learning
  ☆1,598Updated 9 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.
  ☆2,607Updated 5 years ago
• justmarkham / pycon-2016-tutorial
  Machine Learning with Text in scikit-learn
  ☆447Updated 4 years ago
• ipython-books / minibook-2nd-code
  Code of the IPython Minibook, 2nd edition (2015)
  ☆347Updated 5 years ago
• learnml / machine-learning-specialization
  ☆576Updated 7 years ago
• rcompton / ml_cheat_sheet
  My notes and superstitions about common machine learning algorithms
  ☆367Updated 8 years ago
• dgorissen / coursera-dl
  A script for downloading course material (video's, pdfs, quizzes, etc) from coursera.org
  ☆1,744Updated 10 years ago
• DrSkippy / Data-Science-45min-Intros
  Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
  ☆1,592Updated 6 years ago
• lukaemon / Coursera-ML-AndrewNg
  use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm
  ☆922Updated 7 years ago
• uwescience / datasci_course_materials
  Public repository for course materials for the Data Science at Scale Specialization at Coursera
  ☆924Updated 3 years ago
• justmarkham / DAT3
  General Assembly's Data Science course in Washington, DC
  ☆665Updated 5 years ago
• dmitriydligach / PyMLSlides
  Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book
  ☆310Updated 4 years ago
• AllenDowney / ThinkBayes
  Code repository for Think Bayes.
  ☆1,676Updated 4 years ago
• cs109 / a-2017
  Public Repository for cs109a, 2017 edition
  ☆327Updated 2 years ago