Alternatives and similar repositories for blogs_public:

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

• slavakx / bayesian_mmm
  Code for the article Modeling Marketing Mix using PyMC3
  ☆25Updated 2 years ago
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆26Updated last year
• finlytics-hub / churn_model-survival-analysis
  ☆13Updated 4 years ago
• raz1470 / causal_ai
  This project introduces Causal AI and how it can drive business value.
  ☆43Updated 4 months ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 2 years ago
• saritmaitra / Segmentation-Clustering
  Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…
  ☆15Updated last year
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆35Updated 3 months ago
• smazzanti / valicast
  Validation for forecasts
  ☆18Updated last year
• mavillan / tsforest
  Time series forecasting with tree ensembles
  ☆13Updated 3 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆48Updated 3 years ago
• valendin / rfm2lstm
  Customer Base Analysis with Recurrent Neural Networks
  ☆18Updated 2 years ago
• sktime / sktime-tutorial-pydata-global-2022
  sktime - python toolbox for time series: pipelines and transformers
  ☆25Updated 2 years ago
• h3ik0th / clv
  customer lifetime value BG/NBD model
  ☆17Updated 3 years ago
• juanitorduz / website_projects
  Repository containing the code of the projects presented in my personal website.
  ☆39Updated this week
• microprediction / microactors-causality
  Examples of causality maps for time series driven by GitHub actions
  ☆15Updated last year
• bakermoran / BayesABTest
  A simple to use AB testing framework that lets anyone perform bayesian data analysis
  ☆20Updated 3 months ago
• DiegoUsaiUK / Propensity_Modelling
  Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
  ☆27Updated 2 years ago
• leopoldavezac / BayesianMMM
  (ml) - python implementation of bayesian media mix modelling with shape and carryover effect
  ☆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
  ☆40Updated 3 years ago
• jrkinley / game-theory-attribution
  Data-Driven Marketing Attribution
  ☆31Updated 4 years ago
• KishManani / m5-forecasting-tutorial
  An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.
  ☆15Updated last year
• MatthewK84 / LinkedIn-Learning-Journey
  Matthew Kolakowski Learning Journey with Articles on Time Series Analysis, Machine Learning, Python Programming, and Systems Engineering.
  ☆28Updated 3 weeks ago
• LeihuaYe / Statistical_Simulation_In_Python
  ☆13Updated 3 years ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆58Updated 2 years ago
• Garve / mamimo
  A package to compute a marketing mix model.
  ☆71Updated last year
• guillermo-navas-palencia / cprior
  Fast Bayesian A/B and Multivariate testing.
  ☆36Updated 2 years ago
• Valdecy / pyInterDemand
  A python Library for Intermittent Demand Methods: Croston, SBA, SBJ, TSB, HES, LES and SES
  ☆32Updated last year
• annalectnl / weibull-adstock
  Modeling adstock in media mix modeling using Weibull transformations.
  ☆16Updated 5 years ago
• Better-Boy / Market-Mix-Modelling
  This repository contains the code and explanation for market mix modelling technique in economics
  ☆53Updated 6 years ago
• rakshitha123 / WeeklyForecasting
  This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model…
  ☆47Updated 2 years ago