Alternatives and similar repositories for intro_stat_modeling_2017

Users that are interested in intro_stat_modeling_2017 are comparing it to the libraries listed below

• AllenDowney / BayesMadeSimple
  Code for a tutorial on Bayesian Statistics by Allen Downey.
  ☆355Updated 4 years ago
• AllenDowney / CompStats
  Code for a workshop on statistical interference using computational methods in Python.
  ☆225Updated 4 years ago
• fonnesbeck / scipy2014_tutorial
  Tutorial: Bayesian Statistical Analysis in Python
  ☆319Updated 6 years ago
• ericmjl / bayesian-stats-modelling-tutorial
  How to do Bayesian statistical modelling using numpy and PyMC3
  ☆666Updated 3 years ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆279Updated 8 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• ericmjl / bayesian-analysis-recipes
  A collection of Bayesian data analysis recipes using PyMC3
  ☆562Updated last year
• parsing-science / pymc3_quickstart_guide
  ☆80Updated 8 years ago
• JWarmenhoven / DBDA-python
  Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
  ☆686Updated 4 years ago
• fonnesbeck / Bios8366
  Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics
  ☆545Updated 2 years ago
• jbwhit / jupyter-tips-and-tricks
  Using Project Jupyter for data science.
  ☆259Updated 4 years ago
• rasmusab / bayesianprobabilitiesworkshop
  A collection of questions and solutions to problems presented at Rasmus Bååth's Bayesian probabilities workshop.
  ☆124Updated 3 years ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 7 years ago
• drivendata / data-science-is-software
  ☆316Updated 4 years ago
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆160Updated 5 years ago
• TomAugspurger / PyDataSeattle
  For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8
  ☆116Updated 3 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆104Updated 3 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 8 years ago
• jakevdp / JupyterWorkflow
  Reproducible Data Analysis Workflow in Jupyter
  ☆118Updated 7 years ago
• TomAugspurger / dask-tutorial-pycon-2018
  ☆136Updated 5 years ago
• TomAugspurger / pydata-chi-h2t
  Materials for the pandas tutorial at PyData Chicago 2016
  ☆55Updated 4 years ago
• parsing-science / pymc3_models
  ☆159Updated 2 years ago
• fonnesbeck / Bayes_Computing_Course
  ☆232Updated 3 years ago
• amueller / scipy-2017-sklearn
  Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
  ☆286Updated 7 years ago
• hgrif / example-project
  Example Python DS project
  ☆71Updated 7 years ago
• springcoil / probabilisticprogrammingprimer
  ☆90Updated 4 years ago
• ericmjl / data-testing-tutorial
  A short tutorial for data scientists on how to write tests for code + data.
  ☆120Updated 5 years ago
• twiecki / Bayesian-Modelling-in-Python
  A python tutorial on bayesian modeling techniques (PYMC3)
  ☆20Updated 9 years ago
• jonathanrocher / pandas_tutorial
  Pandas tutorial for SciPy2015 and SciPy2016 conference
  ☆142Updated 8 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago