Alternatives and similar repositories for Trend-Simpsons-Paradox:

Users that are interested in Trend-Simpsons-Paradox are comparing it to the libraries listed below

• stitchfix / diamond
  Python solver for mixed-effects models
  ☆98Updated 7 years ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 6 years ago
• szilard / GBM-tune
  Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions
  ☆21Updated 7 years ago
• corriebar / Bayesian-Workflow-with-PyMC
  Repository with code, notebook and slides for my talk at PyConDE & PyData Berlin 2019
  ☆36Updated 2 years ago
• BayesForDays / nontology
  Matrix tools for building and inspecting latent spaces
  ☆27Updated 6 years ago
• hammerlab / survivalstan
  Library of Stan Models for Survival Analysis
  ☆124Updated 4 years ago
• TaddyLab / bayesian-forest
  ☆31Updated 8 years ago
• fonnesbeck / stan_workshop_2016
  Bayesian Modeling using Stan in R (May/June 2016)
  ☆54Updated 8 years ago
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆55Updated 9 years ago
• ogrisel / text-mining-class
  Introduction to web scraping and text mining
  ☆48Updated 5 years ago
• AustinRochford / notebooks
  My Jupyter notebook server
  ☆19Updated 3 years ago
• ustunb / slim-python
  simple customizable scoring systems in python
  ☆41Updated last year
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆42Updated last year
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• lmcinnes / enstop
  Ensemble topic modelling with pLSA
  ☆114Updated 3 years ago
• civisanalytics / civisml-extensions
  scikit-learn-compatible estimators from Civis Analytics
  ☆59Updated 3 years ago
• koaning / brent
  bayesian graphical modelling and a bit of do-calculus for discrete data.
  ☆27Updated 5 years ago
• deaneckles / randomization_inference
  Tutorial in randomization inference, experimental design and analysis, and experiments in networks.
  ☆28Updated 9 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆125Updated 4 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 7 years ago
• springcoil / probabilisticprogrammingprimer
  ☆90Updated 4 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆121Updated 3 years ago
• georgeberry / causal-inference-intro
  A short introduction to causal inference
  ☆28Updated 5 years ago
• GaelVaroquaux / sklearn_ensae_course
  Materials for a course on scikit-learn at ENSAE
  ☆31Updated 8 years ago
• dimenwarper / chainlearn
  Mini module with syntax sugar for pandas/sklearn
  ☆107Updated 4 years ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 6 years ago
• springcoil / PyDataLondonTutorial
  PyDataLondonTutorial
  ☆26Updated 8 years ago
• JackCaster / Intro_to_PyMC3
  Short introduction to Bayesian statistical modelling with PyMC3
  ☆18Updated 5 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• bambinos / educational-resources
  Educational resources
  ☆104Updated 3 years ago