Alternatives and similar repositories for practical-ml

Users that are interested in practical-ml are comparing it to the libraries listed below

• AllenDowney / BayesForUndergrads
  Materials for a workshop on developing undergraduate classes on Bayesian statistics.
  ☆47Updated 9 years ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆97Updated 5 months ago
• fonnesbeck / ngcm_pandas_2017
  Python data analysis course for 2017 NGCM Summer Academy
  ☆21Updated 8 years ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 7 years ago
• jfpuget / Tidy-Data
  Python code for Hadley Whickham's article on Tidy Data.
  ☆35Updated 9 years ago
• gapatino / Doing-frequentist-statistics-with-Scipy
  Repository for the PyData DC 2016 tutorial
  ☆29Updated 9 years ago
• dsaber / py-viz-blog
  Code for Pythonic visualization blog post
  ☆40Updated 8 years ago
• joshloyal / pydata-amazon-products
  Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"
  ☆30Updated 8 years ago
• tdhopper / Data-Science-Conference-Bingo
  Inspired by John Foreman. Created by the crowds.
  ☆54Updated 2 years ago
• wikimedia-research / search_task
  (Deprecated) Task for the Search & Discovery data analyst job.
  ☆21Updated 10 years ago
• mdagost / pug_classifier
  Deep Learning for Pugs
  ☆74Updated 8 years ago
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆58Updated 10 years ago
• tdhopper / intro-to-scikit-learn
  Materials for talk on scikit-learn
  ☆28Updated 10 years ago
• amueller / odsc_east_2016
  ☆26Updated 9 years ago
• padamson / rwml-R
  R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"
  ☆61Updated 3 years ago
• ben519 / mltools
  Exploratory and diagnostic machine learning tools for R
  ☆73Updated 4 years ago
• TomAugspurger / pydata-nyc-ph2t
  PyData NYC 2017: Pandas Head to Tail
  ☆57Updated 8 years ago
• SethHWeidman / ODSC_Neural_Nets_11-04-17
  Talk "Deep Learning From Scratch Using Python" delivered at ODSC West on November 4, 2017
  ☆32Updated 7 years ago
• TomAugspurger / PyDataSeattle
  For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8
  ☆116Updated 4 years ago
• jreback / PyDataNYC2015
  PyData NYC 2015 conference
  ☆94Updated 10 years ago
• Quantia-Analytics / DyDataSF2016Visualization
  Materials for the PyData San Francisco 2016 visualization tutorial
  ☆14Updated 8 years ago
• InsightDataLabs / ipython-notebooks
  ☆31Updated 10 years ago
• jcbozonier / PyData2015
  ☆41Updated 10 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 9 years ago
• ledell / sldm4-h2o
  Statistical Learning & Data Mining IV - H2O Presenation & Tutorial
  ☆26Updated 8 years ago
• rlabbe / statistical-rethinking
  Notebooks containing R code from Richard McElreath's Statistical Rethinking
  ☆71Updated 9 years ago
• Emaasit / meetups
  Presentations from meetups and conferences
  ☆18Updated 5 years ago
• jbwhit / data-science-teams
  Miscellaneous Jupyter Notebooks for my course.
  ☆24Updated 9 years ago
• springcoil / PyDataLondonTutorial
  PyDataLondonTutorial
  ☆26Updated 9 years ago
• rgerkin / pystan-sklearn
  ☆32Updated 8 years ago