Alternatives and similar repositories for ab-testing-resources:

Users that are interested in ab-testing-resources are comparing it to the libraries listed below

• gregberns / ABTesting
  Papers and Resources on running A/B Experiments
  ☆90Updated 3 years ago
• EmilHvitfeldt / feature-engineering-az
  Source for book "Feature Engineering A-Z"
  ☆141Updated last week
• RamiKrispin / atsaf
  Applied Time Series Analysis and Forecasting
  ☆167Updated 2 years ago
• matteocourthoud / Blog-Posts
  Code and notebooks for my Medium blog posts
  ☆123Updated last year
• einatboro / awesome-survival-analysis
  Resources for Survival Analysis
  ☆93Updated 6 months ago
• carl24k / fight-churn
  Code from the book Fighting Churn With Data
  ☆285Updated last week
• station-10 / awesome-marketing-machine-learning
  A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference…
  ☆103Updated last year
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆37Updated 6 months ago
• leopoldavezac / BayesianMMM
  (ml) - python implementation of bayesian media mix modelling with shape and carryover effect
  ☆58Updated 3 years ago
• gabors-data-analysis / da_case_studies
  Codes for case studies for the Bekes-Kezdi Data Analysis textbook
  ☆199Updated this week
• DavisTrey / ExperimentationResources
  A list of blogs, videos, and other content that provides advice on building experimentation and A/B testing platforms
  ☆157Updated 2 years ago
• deburky / boosting-scorecards
  Boosting scorecards
  ☆13Updated last week
• bachmannpatrick / CLVTools
  R-Package for estimating CLV
  ☆56Updated 3 weeks ago
• RamiKrispin / pydata-ny-ga-workshop
  Materials for the Deploy and Monitor ML Pipelines with Python, Docker and GitHub Actions workshop at the PyData NYC 2024 conference
  ☆81Updated this week
• RamiKrispin / awesome-ds-setting
  A tutorial for setting a new machine with core data science tools
  ☆292Updated 4 months ago
• valendin / rfm2lstm
  Customer Base Analysis with Recurrent Neural Networks
  ☆18Updated 3 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆50Updated 3 years ago
• numeristical / resources
  A collection of resources for learning and research.
  ☆92Updated 6 months ago
• allenchng / exp-readings
  A collection of resources for experimentation
  ☆67Updated 2 years ago
• PhilClarkPhD / mmm
  ☆16Updated last year
• robjhyndman / fpp3
  All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman …
  ☆142Updated 7 months ago
• xuanyin / causal-mediation-analysis-for-ab-tests
  The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis
  ☆23Updated 2 years ago
• facebookexperimental / siMMMulator
  siMMMulator is an open source R-package that helps users to generate simulated data to plug into Marketing Mix Models (MMMs). The package…
  ☆50Updated last year
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆92Updated 3 weeks ago
• raz1470 / causal_ai
  This project introduces Causal AI and how it can drive business value.
  ☆46Updated 8 months ago
• jgamper / experimentation-resources
  A collection of experimentation papers/books/articles that I found useful
  ☆43Updated 3 years ago
• mattharrison / effective_xgboost_book
  ☆282Updated last year
• dataandcaffeine / pydata-seattle-2017
  Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle
  ☆39Updated 7 years ago
• RamiKrispin / USelectricity
  Forecast the US demand for electricity
  ☆99Updated 3 years ago
• david26694 / cluster-experiments
  Power analysis and AB test analysis library
  ☆37Updated 3 weeks ago