Machine Learning Examples in R

February 12, 2012

(This article was first published on Shifting sands, and kindly contributed to R-bloggers)

This is a post that has been a long time in the making. Following on from the excellent Stanford Machine Learning Course I have made examples of the main algorithms covered in R.

We have Linear Regression

Followed by Neural Networks

And Support Vector Machines

One remaining item is Logistic Regression, I am yet to find a library in R that behaves as I want, so that will come at some future date. I’ve been sitting on this post for ages and got sick of waiting. As an aside I find the documentation in R to be variable at best, which can make it somewhat of a pain to work with. When it is good, yes it can be very good but often it is quite poor …

R is great for data analysis and exploration, but I have found myself moving back to python for many more mundane tasks.

Anyway for those interested in the code, I have put it on Github. The data is from an exercise in the Stanford course, and by tweaking the parameters I really got a good feel for how the various algorithms work in practise.

Once I finish my backtesting engine I will probably put it up on Github as well, and then I can start digging into the applications of ML techniques for trading systems.

To leave a comment for the author, please follow the link and comment on their blog: Shifting sands. offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

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.


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)