Alternatives and similar repositories for blogs_public

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

• raz1470 / causal_ai
  This project introduces Causal AI and how it can drive business value.
  ☆50Updated last year
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆37Updated 11 months ago
• slavakx / bayesian_mmm
  Code for the article Modeling Marketing Mix using PyMC3
  ☆27Updated 3 years ago
• ColtAllen / btyd
  Buy Till You Die and Customer Lifetime Value statistical models in Python.
  ☆117Updated last year
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆52Updated 4 years ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆62Updated 2 years ago
• juanitorduz / website_projects
  Repository containing the code of the projects presented in my personal website.
  ☆43Updated this week
• ashish-kamboj / Market-Mix-Modeling
  Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales
  ☆43Updated 4 years ago
• sktime / sktime-tutorial-pydata-global-2022
  sktime - python toolbox for time series: pipelines and transformers
  ☆24Updated 2 years ago
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆27Updated 2 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• uc-python / advanced-python-datasci
  Advanced Python for Data Science Workshop
  ☆13Updated last year
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 4 years ago
• h3ik0th / clv
  customer lifetime value BG/NBD model
  ☆17Updated 3 years ago
• valendin / rfm2lstm
  Customer Base Analysis with Recurrent Neural Networks
  ☆18Updated 3 years ago
• feature-engine / feature-engine-examples
  ☆36Updated 7 months ago
• deburky / boosting-scorecards
  Boosting scorecards
  ☆14Updated this week
• DiegoUsaiUK / Propensity_Modelling
  Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
  ☆27Updated 2 years ago
• guillermo-navas-palencia / cprior
  Fast Bayesian A/B and Multivariate testing.
  ☆36Updated 2 years ago
• smazzanti / valicast
  Validation for forecasts
  ☆18Updated 2 years ago
• mscharth / forecasting
  Forecasting lectures and tutorials using Python
  ☆126Updated 7 years ago
• leopoldavezac / BayesianMMM
  (ml) - python implementation of bayesian media mix modelling with shape and carryover effect
  ☆58Updated 3 years ago
• KishManani / m5-forecasting-tutorial
  An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.
  ☆19Updated 2 years ago
• bakermoran / BayesABTest
  A simple to use AB testing framework that lets anyone perform bayesian data analysis
  ☆21Updated 11 months ago
• microprediction / timeseries-notebooks
  Hello world univariate examples for a variety of time series packages.
  ☆56Updated last year
• luisroque / bayesian_time_series
  Machine Learning models using a Bayesian approach and often PyMC3
  ☆25Updated 4 years ago
• matteocourthoud / Blog-Posts
  Code and notebooks for my Medium blog posts
  ☆128Updated last year
• microprediction / winning
  Inference of relative ability from winning probabilities
  ☆44Updated 7 months ago
• cetagostini / marketing-science-projects
  Mis proyectos de marketing aplicando AI
  ☆11Updated 2 years ago
• jrodenberg0 / vn1_fcst
  This repo houses my VN1 Forecasting Notebook for Phase One.
  ☆18Updated 10 months ago