Alternatives and similar repositories for blogs_public

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

• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆36Updated last year
• slavakx / bayesian_mmm
  Code for the article Modeling Marketing Mix using PyMC3
  ☆27Updated 3 years ago
• raz1470 / causal_ai
  This project introduces Causal AI and how it can drive business value.
  ☆54Updated last year
• leopoldavezac / BayesianMMM
  (ml) - python implementation of bayesian media mix modelling with shape and carryover effect
  ☆62Updated 4 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆52Updated 4 years ago
• ColtAllen / btyd
  Buy Till You Die and Customer Lifetime Value statistical models in Python.
  ☆118Updated last year
• microprediction / timeseries-notebooks
  Hello world univariate examples for a variety of time series packages.
  ☆57Updated last year
• microprediction / microactors-causality
  Examples of causality maps for time series driven by GitHub actions
  ☆15Updated 2 years ago
• sktime / sktime-tutorial-pydata-global-2022
  sktime - python toolbox for time series: pipelines and transformers
  ☆25Updated 3 years ago
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆27Updated 2 years ago
• smazzanti / valicast
  Validation for forecasts
  ☆17Updated 2 years ago
• uc-python / advanced-python-datasci
  Advanced Python for Data Science Workshop
  ☆13Updated last year
• bakermoran / BayesABTest
  A simple to use AB testing framework that lets anyone perform bayesian data analysis
  ☆21Updated last year
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 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
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆65Updated 3 years ago
• valendin / rfm2lstm
  Customer Base Analysis with Recurrent Neural Networks
  ☆19Updated 3 years ago
• PlaytikaOSS / uplift-analysis
  A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…
  ☆24Updated 2 years ago
• feature-engine / feature-engine-examples
  ☆36Updated last year
• juanitorduz / website_projects
  Repository containing the code of the projects presented in my personal website.
  ☆46Updated this week
• h3ik0th / clv
  customer lifetime value BG/NBD model
  ☆17Updated 4 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 4 years ago
• David-Woroniuk / Medium-Articles
  Consolidated codes for articles published on Medium
  ☆14Updated 5 years ago
• cetagostini / marketing-science-projects
  Mis proyectos de marketing aplicando AI
  ☆11Updated 3 months ago
• MatthewK84 / LinkedIn-Learning-Journey
  Matthew Kolakowski Learning Journey with Articles on Time Series Analysis, Machine Learning, Python Programming, and Systems Engineering.
  ☆29Updated 2 weeks ago
• annalectnl / weibull-adstock
  Modeling adstock in media mix modeling using Weibull transformations.
  ☆16Updated 6 years ago
• Valdecy / pyInterDemand
  A python Library for Intermittent Demand Methods: Croston, SBA, SBJ, TSB, HES, LES and SES
  ☆39Updated 2 years ago
• gslicht / Using_NLP_to_Predict_Almost_Bankruptcy
  ☆12Updated 5 years ago
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆56Updated last year
• tblume1992 / MFLES
  ☆115Updated last year