How to Effectively Structure Data Science Projects in R (Episode 11)

The Effective Data Scientist

Sisällön tarjoaa Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi. Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.

12M ago 21:36

AAC•Jakson koti

In this episode, Paolo and Thomas dive into the fundamental principles for a well-structured data science project. These include practical advice on:

• organizing files into folders,

• documenting and commenting code,

• using version control systems and much more.

Although the episode focuses on applying these fundamental principles in R projects, you want to apply the same principles to any Data Science project, regardless of the language used.

Further resources:

Advanced R 2nd Ed. (http://adv-r.hadley.nz)

R for Data Science 2nd Ed. (http://(r4ds.hadley.nz)

24 jaksoa

#Science #Natural Sciences #Alexander Schacht and Paolo Eusebi #Alexander Schacht #Paolo Eusebi #Data Science #Data Scientist