PinnedLaurin BrechterUseful Visualizations and Statistics for Marketing AnalyticsA compilation and discussion of useful visualizations for marketing analyticsAug 303Aug 303
PinnedLaurin BrechterCausal Inference with CausalPyThis post provides a short introduction to causal inference with a practical example showing how synthetic control can work in CausalPyJul 20, 2023Jul 20, 2023
Laurin BrechterinTowards Data ScienceMarket Basket Analysis Using High Utility Itemset MiningFinding high-value patterns in transactionsSep 11Sep 11
Laurin BrechterinTowards Data ScienceAn Introduction to Bayesian A/B TestingGain better insights from your dataSep 5Sep 5
Laurin BrechterHow to use PostgresDB as your One-Stop RAG SolutionThis post shows how to use postgres as a vector db and how to ingest and retrieve documents with the help of Python and SQLAlchemyJan 121Jan 121
Laurin BrechterPutting Bayesian Models into ProductionIn this post, I will highlight some of the things to consider when putting Bayesian models into production and how they compare to…Aug 28, 20231Aug 28, 20231
Laurin BrechterCustomer Analytics: Pattern Mining on Clickstream Data in PythonThis post shows how we can use raw clickstream data to find patterns in the online user behavior of customers of an ecommerce site.Aug 21, 2023Aug 21, 2023
Laurin BrechterA Data-driven, Bayesian Approach to the Critical Path MethodIn this post, I provide a short review of the CPM project management technique. After this, we discuss the shortcomings and see how a…Aug 14, 2023Aug 14, 2023
Laurin BrechterApplying the Bayesian Gamma-gamma Model for Customer Lifetime ValuationThis post applies the gamma-gamma model for Customer Lifetime Valuation (CLV) to a brazilian e-commerce dataset…Aug 12, 2023Aug 12, 2023
Laurin BrechterinPython in Plain EnglishMaterial Flow Simulation and Optimization with SimPyThis post will show you how to setup a simpy environment in Python that models the flow of raw materials through a factory. Additionally…Aug 8, 2023Aug 8, 2023