On May 5th, Dani and friend of the book Pedro Amaral will run a session on embedding space in (regression) models.

The session will be based on the “Geographic Data Science with Python” book and will discuss mainly two of its chapters: Chapter 11, Spatial Regression, and Chapter 12, Spatial Feature Engineering. You can tag along just to listen or, if you want, you can also follow along running the code on your own machine. Thanks to Binder, this is a click away on your browser!

BONUS – The session will be hybrid, so you can join remotely.

Here’re the coordinates of the event:

And more information is available here on the SDS’s website.