Alternatives and similar repositories for bayes_school:

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

• drivendataorg / power-laws-cold-start
  ☆23Updated last year
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 7 years ago
• fonnesbeck / ngcm_pandas_2017
  Python data analysis course for 2017 NGCM Summer Academy
  ☆20Updated 7 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆25Updated 5 years ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 6 years ago
• fonnesbeck / PyMC3_EUSS
  Course in Probabilistic Programming in Python for the 2018 EU Summer School
  ☆23Updated 6 years ago
• fonnesbeck / enar_2019_tutorial
  A Primer on Python for Statistical Programming and Data Science
  ☆26Updated 6 years ago
• abhishekmalali / h2o-hyperopt
  Library for integrated use of H2O with Hyperopt
  ☆13Updated last year
• gcampanella / pydata-london-2018
  Slides and notebooks for my tutorial at PyData London 2018
  ☆21Updated 6 years ago
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆58Updated 9 years ago
• sidravi1 / Blog
  ☆24Updated 4 years ago
• yoonkanglow / Causal-Impact-Analysis-Demo
  ☆26Updated 7 years ago
• jphall663 / GWU_rml
  ☆37Updated last week
• RAMitchell / xgb-bias-variance
  ☆14Updated 5 years ago
• AileenNielsen / OReillyHealthcareData
  ☆40Updated 7 years ago
• jphall663 / hc_ml
  Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
  ☆22Updated 5 years ago
• TomAugspurger / Greene_Econometrics
  ☆16Updated 11 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• jbwhit / data-science-teams
  Miscellaneous Jupyter Notebooks for my course.
  ☆24Updated 8 years ago
• Vishwacorp / nyc_uber_forecasting
  Forecasting Uber demand in NYC neighborhoods
  ☆34Updated 7 years ago
• ColCarroll / pydata_nyc2017
  Slides and materials for workshop on "Two views on regression with PyMC3 and scikit-learn"
  ☆19Updated 2 years ago
• AustinRochford / notebooks
  My Jupyter notebook server
  ☆19Updated 3 years ago
• joshuacortez / survival-analysis-blog
  An introduction to survival analysis and its application in telco customer churn.
  ☆8Updated 8 years ago
• mwestt / An-Introduction-to-Bayesian-Inference-in-PyStan
  Code for blog post on Bayesian inference in PyStan
  ☆20Updated 4 years ago
• unravelin / code-test-data-science
  Data Scientist code test
  ☆19Updated 4 years ago
• thedataincubator / DS30_4
  Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator
  ☆30Updated 6 years ago
• pbstark / MX14
  Short course on nonparametric inference in auditing and litigation, XXIX Foro Internacional de Estadistica, Puebla, MX
  ☆15Updated 8 years ago
• pymc-learn / pymc-learn-book
  Book: Practical Probabilistic Machine Learning in Python
  ☆10Updated 4 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆19Updated 2 years ago