Skip to content

Latest commit

 

History

History
19 lines (11 loc) · 629 Bytes

File metadata and controls

19 lines (11 loc) · 629 Bytes

Uplift Modeling for Marketing Personalization in Practice

This is the official repository for PyData Amsterdam 2024 tutorial "Uplift Modeling for Marketing Personalization in Practice."

How to use this repository as attendee

If you're attending the tutorial, you can directly navigate to the tutorial README.md

Publishing jupyter book on pages

If you wish to republish the book on pages, you can do so by following the instructions below.

In your terminal, run:

make publish-ghp

The previous command will install the required packages and rebuild the gh-pages branch from scratch