November Thanksgiving – Data Science Style!

November 4, 2019
By

[This article was first published on R programming – Journey of Analytics, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Hello All,

November is the month of Thanksgiving, and vacations and of course deals galore! As part of saying thanks to my loyal readers, here are some deals specific to data science professionals and students, that you should definitely not miss on.

Book deals:

  1. If you are exploring Data Science careers or preparing for interviews for a winter graduation, then take a look at my ebook “Data Science Jobs“. It is currently part of a Kindle countdown deal and priced 80% off from its normal price. Currently only $0.99 and prices will keep increasing until Friday morning when it goes back to full price.
  2. Want a FREE book on Statistics, as related to R-programming and machine learning algorithms? I am currently looking to giveaway FREE advanced reviewer copies (ARC) . You can look at the book contents here, and if it seems interesting then please sign up here to be a reviewer.
  3. If you are deploying machine learning models on the cloud, then chances are you work with Kubernetes or have at least heard of it. If you haven’t and you are an aspiring data scientist/ engineer, then you should compulsorily learn about those concepts. And the best guide on this topic, from the creators of Kubernetes is now available for FREE, thanks to a partnership between O’REilly Publishers and Microsoft Azure. Get the book here.

Nov projects:

  1. The R-programming project for November is a sentiment analysis on song lyrics by different artists. There is lots of data wrangling involved to aggregate different lyrics, and compare the lyrics favored by 2 different artists. The code repository is added to the Projects page here. I’ve written the main code in R, and used Tableau to generate some of the visuals, but this can be easily tweaked to create an awesome Shiny dashboard to add to a data science portfolio.

Until next time, Adieu for now!

The post November Thanksgiving – Data Science Style! appeared first on Journey of Analytics.

To leave a comment for the author, please follow the link and comment on their blog: R programming – Journey of Analytics.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)