Bucketing and highlighting dominant predictors in your ML models

September 5, 2019

[This article was first published on R Blogs – Hutsons-hacks, 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.

Our company have been at it again. This time from my colleagues and fellow Data Scientist Alfonso Portabales.

For this post we look at Draper and Dash’s custom method of highlighting dominant predictors in your machine learning models:

If you are interested in our solutions in healthcare then please contact [email protected].

Additionally, we are also available for speaking gigs at conferences to show how we have become a market leader in terms of augmented BI solutions.

Consulting is something we also do on how to integrate ML with various BI solutions e.g. Tableau, Power BI and Qlik Sense.

We recently had a really interesting time at the Leeds Data Science meetup – where we discussed how we use our expertise to solve NHS problems: https://www.meetup.com/Leeds-Data-Science-Meetup/events/263675714/.

To leave a comment for the author, please follow the link and comment on their blog: R Blogs – Hutsons-hacks.

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


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)