Tweetovi

Blokirali ste korisnika/cu @byerancy

Jeste li sigurni da želite vidjeti te tweetove? Time nećete deblokirati korisnika/cu @byerancy

  1. proslijedio/la je Tweet
    27. sij

    Do you want to see (and maybe even reproduce or update) beautiful maps using ? Go to and take a look at the work made by .

    Poništi
  2. proslijedio/la je Tweet
    25. sij

    Soooooo excited to see 's book in print! Intro stats with topical examples and data sets, a narrative style, and a focus on diversity. Sounds like a winner to me! Head on over to for your copy.

    Poništi
  3. proslijedio/la je Tweet
    24. sij

    You men quoting this like “gIvE thAt mAn his PS4 and Switch bAcK” Bitch I bought them. Wow baby. Me. A woman. Playing GAMES. mind blowing concept

    Prikaži ovu nit
    Poništi
  4. proslijedio/la je Tweet
    19. sij

    🎊 It's here! So happy to have in hand! Congratulations, & . You've made a real winner, and great addition to the -book pantheon in this one! 🆓 online forever:

    Statistical Interference via Data Science. A modem dive into R and the Tidyverse.
    Poništi
  5. proslijedio/la je Tweet
    23. sij

    🗂 I'm always intrigued by proj setups… "RStudio Projects and Working Directories: A Beginner's Guide" 👨🏻‍💻 Martin Chan

    A basic R project setup: Main folder Your Project name contains .Rproj file, and subfolders Data, Script and Output. Script Folder contains subfolder Functions and Analysis scripts, Output subfolder contains Plots and Data subfolders
    Poništi
  6. proslijedio/la je Tweet
    19. sij

    Now you can also read about the data-driven global model of landscape change and its application to deforestation scenarios in Chinese () and Vietnamese ().

    Poništi
  7. proslijedio/la je Tweet
    19. sij

    I love mechanical systems.

    Poništi
  8. proslijedio/la je Tweet
    19. sij
    Poništi
  9. proslijedio/la je Tweet
    17. sij

    Anaconda's tools help you understand what your algorithms are doing. Check out and to get started!

    Poništi
  10. proslijedio/la je Tweet
    17. sij

    Trick out your Rprofile + some handy functions... "Customising your Rprofile" by /* no emoji used in deference to author aversion */

    Start-up Messages
* wifi network and speed 
* number of open R sessions
* RStudio project info
cp()
Lists previous RStudio projects and gives an option to open.
    Poništi
  11. proslijedio/la je Tweet
    12. sij

    How the author sees the book vs. How the reader sees the book

    Prikaži ovu nit
    Poništi
  12. proslijedio/la je Tweet
    9. sij

    2020 primary forecast is live with many cute things. 👏🏻Congrats team!!! 👏🏻

    Poništi
  13. proslijedio/la je Tweet
    29. pro 2019.

    I just published the first release of Altair Viewer – this lets you easily view Altair charts without a web connection & in any development environment – no notebook required! Give it a spin:

    Prikaži ovu nit
    Poništi
  14. proslijedio/la je Tweet
    3. sij

    lissajous table 💙💜❤

    Prikaži ovu nit
    Poništi
  15. proslijedio/la je Tweet
    4. sij

    130-page cheat sheet — classical equations & diagrams, to assist in preparation for job interviews or quick recall of concepts: (PDF + LaTeX source) ——

    Poništi
  16. proslijedio/la je Tweet
    3. sij

    "All programming languages are basically just bundles of trade-offs, and so no single language is going to be globally superior to another. There really are no production languages – only production engineers." Well written piece from

    Poništi
  17. proslijedio/la je Tweet
    4. sij

    Vicious battle between two carnivorous predators. Hard to watch.

    Poništi
  18. proslijedio/la je Tweet
    28. pro 2019.
    Poništi
  19. proslijedio/la je Tweet
    22. pro 2019.

    🗓 Day 22 resource advent 👋 A friendly, applied guide from & 🤖 "Hands-On Machine Learning with R"

     Hands-On Machine Learning with R by Bradley Boehmke & Brandon Greenwell  Welcome to Hands-On Machine Learning with R. This book provides hands-on modules for many of the most common machine learning methods to include: Generalized low rank models; Clustering algorithms; Autoencoders; Regularized models; Random forests; Gradient boosting machines; Deep neural networks; Stacking / super learners and more!
    Poništi
  20. proslijedio/la je Tweet
    21. pro 2019.
    Poništi

Čini se da učitavanje traje već neko vrijeme.

Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.

    Možda bi vam se svidjelo i ovo:

    ·