EDA in Public (Part 3): RFM Analysis for Customer Segmentation in Pandas
! If you’ve been following along, we’ve come a long way. In Part 1, we did the “dirty work” of ...
Read moreDetails! If you’ve been following along, we’ve come a long way. In Part 1, we did the “dirty work” of ...
Read moreDetailsOne might encounter a number of frustrating difficulties when trying to numerically solve a difficult nonlinear and nonconvex optimal control ...
Read moreDetails(NLP) revolutionized how we interact with technology. Do you remember when chatbots first appeared and sounded like robots? Thankfully, that’s ...
Read moreDetailsAs deep learning models grow larger and datasets expand, practitioners face an increasingly common bottleneck: GPU memory bandwidth. While cutting-edge ...
Read moreDetailsfocus on isolated tasks or simple prompt engineering. This approach allowed us to build interesting applications from a single prompt, ...
Read moreDetailsI was working on a script the other day, and it was driving me nuts. It worked, sure, but it ...
Read moreDetailsIntroduction customer annoyance from wait times. Calls arrive randomly, so wait time X follows an Exponential distribution—most waits are short, ...
Read moreDetails! Welcome back to the “EDA in Public” series! This is Part 2 of the series; if you haven’t seen ...
Read moreDetailsfascinating aspects of time series is the intrinsic complexity of such an apparently simple kind of data. At the end ...
Read moreDetailsIf you work in data science, data engineering, or as as a frontend/backend developer, you deal with JSON. For professionals, ...
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