Alternatives and similar repositories for jupytercon-missing-data-2018

Users that are interested in jupytercon-missing-data-2018 are comparing it to the libraries listed below

• TomAugspurger / pydata-nyc-ph2t
  PyData NYC 2017: Pandas Head to Tail
  ☆57Updated 7 years ago
• thedataincubator / practical-ml
  ☆24Updated 6 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• GaelVaroquaux / stats_in_python_tutorial
  Material for the statistics in Python tutorial
  ☆43Updated 9 years ago
• InsightDataLabs / ipython-notebooks
  ☆31Updated 9 years ago
• deniederhut / Pandas-Tutorial-SciPyConf-2018
  ☆48Updated 6 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated last year
• jbwhit / data-science-teams
  Miscellaneous Jupyter Notebooks for my course.
  ☆24Updated 8 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• amueller / jupytercon2017
  Material for Data analysis and machine learning in Jupyter
  ☆21Updated 7 years ago
• gjreda / empirical-bayes-book-python
  Using Python to recreate the code and charts used throughout David Robinson's Introduction to Empirical Bayes
  ☆28Updated 7 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 7 years ago
• tdhopper / pythonplot.com
  📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seabor…
  ☆108Updated 4 years ago
• gapatino / Doing-frequentist-statistics-with-Scipy
  Repository for the PyData DC 2016 tutorial
  ☆29Updated 8 years ago
• hugobowne / machine_learning_techniques
  In which I implement some applications of machine learning techniques.
  ☆30Updated 9 years ago
• AllenDowney / BayesSeminar
  Bayesian statistics seminars
  ☆30Updated 8 years ago
• TomAugspurger / PyDataSeattle
  For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8
  ☆116Updated 3 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• mrocklin / dask-workshop
  ☆28Updated 8 years ago
• DSChallangeRepo / CodingChallanges
  Repo of data science coding challenges for various companies
  ☆24Updated 9 years ago
• lopusz / pydata-berlin-2018
  ☆15Updated 6 years ago
• jcbozonier / PyData2015
  ☆41Updated 9 years ago
• fonnesbeck / scipy2015_tutorial
  Computational Statistics II Tutorial at SciPy 2015
  ☆48Updated 9 years ago
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆58Updated 9 years ago
• brianray / bokeh_roc_slider
  Receiver operating characteristic chart in Bokeh
  ☆14Updated 5 years ago
• woobe / h2o_tutorials
  Slides and code examples for H2O tutorials at various events
  ☆56Updated 7 years ago
• jfpuget / Tidy-Data
  Python code for Hadley Whickham's article on Tidy Data.
  ☆35Updated 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
• mmmayo13 / scikit-learn-beginners-tutorials
  Abridged implementation of the official scikit-learn beginner tutorials
  ☆51Updated 9 years ago
• fonnesbeck / ngcm_pandas_2017
  Python data analysis course for 2017 NGCM Summer Academy
  ☆20Updated 7 years ago