Alternatives and similar repositories for scipy2014_tutorial

Users that are interested in scipy2014_tutorial are comparing it to the libraries listed below

• aloctavodia / Doing_bayesian_data_analysis
  Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
  ☆903Updated 3 years ago
• fonnesbeck / intro_stat_modeling_2017
  Introduction to Statistical Modeling with Python (PyCon 2017)
  ☆167Updated 4 years ago
• fonnesbeck / Bios8366
  Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics
  ☆543Updated 2 years ago
• AllenDowney / CompStats
  Code for a workshop on statistical interference using computational methods in Python.
  ☆225Updated 4 years ago
• jonathanrocher / pandas_tutorial
  Pandas tutorial for SciPy2015 and SciPy2016 conference
  ☆142Updated 8 years ago
• parsing-science / pymc3_quickstart_guide
  ☆80Updated 8 years ago
• JWarmenhoven / DBDA-python
  Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
  ☆682Updated 3 years ago
• aloctavodia / Statistical-Rethinking-with-Python-and-PyMC3
  Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
  ☆853Updated 5 years ago
• AllenDowney / BayesMadeSimple
  Code for a tutorial on Bayesian Statistics by Allen Downey.
  ☆353Updated 4 years ago
• twiecki / WhileMyMCMCGentlySamples
  my blog
  ☆268Updated 3 years ago
• jakevdp / sklearn_pydata2015
  Scikit-Learn Tutorial for PyData Seattle 2015
  ☆137Updated 9 years ago
• TomAugspurger / PyDataSeattle
  For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8
  ☆116Updated 3 years ago
• sujitpal / statlearning-notebooks
  Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
  ☆378Updated 9 years ago
• culturedbun / pandas-exercises
  Walkthrough exercises from PandasTutorial by Wes McKinney.
  ☆150Updated 4 years ago
• avehtari / BDA_py_demos
  Bayesian Data Analysis demos for Python
  ☆1,016Updated last year
• rhiever / sklearn-benchmarks
  A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
  ☆213Updated 7 years ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 7 years ago
• jakevdp / sklearn_scipy2013
  Scikit-learn tutorials for the Scipy 2013 conference
  ☆324Updated 8 years ago
• jonsedar / pymc3_vs_pystan
  Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…
  ☆128Updated 9 years ago
• chdoig / scipy2015-blaze-bokeh
  Building Python Data Applications with Blaze and Bokeh Tutorial, SciPy 2015
  ☆144Updated 9 years ago
• mmckerns / tutmom
  Tutorial on "Modern Optimization Methods in Python"
  ☆249Updated 3 months ago
• ericmjl / bayesian-analysis-recipes
  A collection of Bayesian data analysis recipes using PyMC3
  ☆560Updated last year
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• jbwhit / jupyter-tips-and-tricks
  Using Project Jupyter for data science.
  ☆258Updated 4 years ago
• cs109 / 2014
  Official content for the Fall 2014 Harvard CS109 Data Science course
  ☆318Updated 8 years ago
• drivendata / data-science-is-software
  ☆317Updated 4 years ago
• rasbt / pydata-chicago2016-ml-tutorial
  Machine learning with scikit-learn tutorial at PyData Chicago 2016
  ☆128Updated 8 years ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆275Updated 8 years ago
• ipython-books / cookbook-code
  [DEPRECATED] See the new edition:
  ☆972Updated 7 years ago
• justmarkham / DAT7
  General Assembly's Data Science course in Washington, DC
  ☆233Updated last year