stevensanderson, to datascience
@stevensanderson@mstdn.social avatar

Ever struggle with features in your data overshadowing others due to different scales? Normalization can be your hero!

In R, there are ways to transform your data for a more even playing field. This post explores two popular methods:

  1. Z-score normalization
  2. Min-max scaling

#R

Post: https://www.spsanderson.com/steveondata/posts/2024-04-02/

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JustCodeCulture, to InformationTechnology
@JustCodeCulture@mastodon.social avatar

Congratulations to CBI Sr. Research Fellow William Aspray who just published Understanding Information History: The Case of America in 1920 (Springer).

@histodons

https://link.springer.com/book/10.1007/978-3-031-44134-9#about-this-book

elduvelle, (edited ) to python
@elduvelle@neuromatch.social avatar

As a (broadly-speaking), which language do you prefer for your data processing and data analysis?

I’m particularly interested in understanding why so many people seem to use R these days - comments welcome!

#R

eric_ma,
@eric_ma@techhub.social avatar

@elduvelle I am not a Neuroscientist but I do both and with Python and Pandas.

lig, to python
@lig@fosstodon.org avatar
lig, to programming
@lig@fosstodon.org avatar

🎉 Is it A? Is it B? It's βeta! The first beta release of Pydantic v2 has arrived!

📦 Please, welcome pydantic 2.0b1 https://pypi.org/project/pydantic/2.0b1/

🏷️

maugendre, to internet
@maugendre@hachyderm.io avatar


"There are currently no meaningful or scalable legal or technical solutions available to lawfully share data with US companies."

Carey @privacat: https://careylening.substack.com/p/welcome-to-the-splinternet @dataGovernance @data

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