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Kandungan disediakan oleh Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.
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How to Effectively Structure Data Science Projects in R (Episode 11)

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Manage episode 378107580 series 3515392
Kandungan disediakan oleh Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

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)

  continue reading

24 episod

Artwork
iconKongsi
 
Manage episode 378107580 series 3515392
Kandungan disediakan oleh Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

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)

  continue reading

24 episod

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