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
  ☆92Updated 4 years ago
• EmilHvitfeldt / feature-engineering-az
  Source for book "Feature Engineering A-Z"
  ☆153Updated last week
• RamiKrispin / atsaf
  Applied Time Series Analysis and Forecasting
  ☆169Updated 2 years ago
• einatboro / awesome-survival-analysis
  Resources for Survival Analysis
  ☆97Updated 7 months ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆52Updated 4 years ago
• valendin / rfm2lstm
  Customer Base Analysis with Recurrent Neural Networks
  ☆19Updated 3 years ago
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆36Updated last year
• 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
• adrianolszewski / model-based-testing-hypotheses
  Testing hypotheses through statistical models opens a universe of new possibilities. Learn how to improve your daily work with this appro…
  ☆88Updated last month
• matteocourthoud / Blog-Posts
  Code and notebooks for my Medium blog posts
  ☆131Updated last year
• carl24k / fight-churn
  Code from the book Fighting Churn With Data
  ☆311Updated 6 months ago
• RamiKrispin / awesome-ds-setting
  A tutorial for setting a new machine with core data science tools
  ☆294Updated last year
• RamiKrispin / Introduction-to-Docker
  (WIP) Getting started with Docker - An introduction to Docker with data science and engineering applications
  ☆129Updated 2 years ago
• ashish-kamboj / Market-Mix-Modeling
  Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales
  ☆44Updated 4 years ago
• raz1470 / causal_ai
  This project introduces Causal AI and how it can drive business value.
  ☆54Updated last year
• deburky / boosting-scorecards
  Boosting scorecards
  ☆15Updated last week
• leopoldavezac / BayesianMMM
  (ml) - python implementation of bayesian media mix modelling with shape and carryover effect
  ☆64Updated 4 years ago
• RamiKrispin / ai-dev-2024-ml-workshop
  Materials for the AI Dev 2024 conference workshop "Deploy and Monitor ML Pipelines with Python, Open Source, and Free Applications"
  ☆94Updated this week
• DiegoUsaiUK / Propensity_Modelling
  Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
  ☆27Updated 3 years ago
• keithmcnulty / peopleanalytics-regression-book
  Handbook of Regression Modeling in People Analytics (1st Edition)
  ☆171Updated last month
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆66Updated 3 years ago
• allenchng / exp-readings
  A collection of resources for experimentation
  ☆82Updated 3 years ago
• feature-engine / feature-engine-examples
  ☆36Updated last year
• sithankanna / ultimate-product-ds
  The Ultimate Product Data Science & Analytics Resource
  ☆69Updated 4 years ago
• mattharrison / effective_xgboost_book
  ☆296Updated 2 years ago
• PhilClarkPhD / mmm
  ☆16Updated last year
• yoonhwang / hands-on-data-science-for-marketing
  ☆26Updated 4 years ago
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆115Updated last month
• annalectnl / weibull-adstock
  Modeling adstock in media mix modeling using Weibull transformations.
  ☆16Updated 6 years ago
• slavakx / bayesian_mmm
  Code for the article Modeling Marketing Mix using PyMC3
  ☆27Updated 3 years ago