Alternatives and similar repositories for bayesian-stats-simulation-tutorial

Users that are interested in bayesian-stats-simulation-tutorial are comparing it to the libraries listed below

• fonnesbeck / intro_stat_modeling_2017
  Introduction to Statistical Modeling with Python (PyCon 2017)
  ☆169Updated 5 years ago
• ericmjl / bayesian-stats-modelling-tutorial
  How to do Bayesian statistical modelling using numpy and PyMC3
  ☆672Updated 3 years ago
• chendaniely / scipy-2019-pandas
  Pandas tutorial for SciPy 2019
  ☆102Updated 2 years ago
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆161Updated 5 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆245Updated 3 years ago
• jcrouser / islr-python
  ☆110Updated 4 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆107Updated 3 years ago
• AllenDowney / BiteSizeBayes
  An introduction to Bayesian statistics using Python and (coming soon) R.
  ☆134Updated 2 years ago
• fonnesbeck / Bayes_Computing_Course
  ☆234Updated 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
• AllenDowney / BayesMadeSimple
  Code for a tutorial on Bayesian Statistics by Allen Downey.
  ☆357Updated 5 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated last year
• tdpetrou / Minimally-Sufficient-Pandas
  There are always multiple ways to complete a task in Pandas. A minimal subset of the library is sufficient for almost everything.
  ☆90Updated 3 years ago
• amueller / ml-workshop-1-of-4
  Introduction to Machine learning with Python, 4h interactive workshop
  ☆314Updated 5 years ago
• QuantEcon / lecture-python-programming.notebooks
  Notebooks for https://python-programming.quantecon.org
  ☆67Updated 2 weeks ago
• tfolkman / byu_econ_applied_machine_learning
  The course work for the applied machine learning course I am teaching at BYU
  ☆137Updated 5 years ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆283Updated 9 years ago
• scentellegher / code_snippets
  ☆41Updated 4 years ago
• etcrago / Tutorial-Arima-w-jeffrey-yau
  ☆98Updated 7 years ago
• Harvard-IACS / 2020-CS109A
  ☆120Updated 3 years ago
• JWarmenhoven / DBDA-python
  Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
  ☆690Updated 4 years ago
• gbosquechacon / statrethink_course_in_pymc3
  Statistical Rethinking course in pymc3
  ☆144Updated 5 years ago
• chendaniely / pydatadc_2018-tidy
  PyData 2018 tutorial for tidying data
  ☆149Updated 7 years ago
• VSerpak / DSE210x-Statistics-and-Probability-in-Data-Science-using-Python
  UCSanDiegoX edX Course DSE210x Statistics and Probability in Data Science using Python
  ☆60Updated 7 years ago
• alexandrahotti / Solutions-to-A-Students-Guide-to-Bayesian-Statistics-by-Ben-Lambert
  My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.
  ☆74Updated last year
• thomasjpfan / ml-workshop-intro
  Introduction to scikit-learn: Machine Learning in Python
  ☆20Updated 3 years ago
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆144Updated 5 years ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆55Updated 3 years ago
• justinbois / dc_stat_think
  Utility functions used in the DataCamp Statistical Thinking courses.
  ☆48Updated 4 years ago
• willkurt / ProbAndStats-PyDataNYC2019
  Introduction to Probability and Statistics
  ☆56Updated 3 years ago