eXtreme Gradient Boosting is a machine learning model which became really popular few years ago after winning several Kaggle competitions. It is very powerful algorithm that use an ensemble of weak learners to obtain a strong learner. Its R implementation is available in xgboost package and it is really worth including into anyone’s machine learning Related exercise sets: Model Evaluation...
A maintenance update RcppGSL 0.3.3 is now on CRAN. It switched the vignette to the our new pinp package and its two-column pdf default. The RcppGSL package provides an...
A new version of the RcppCNPy package arrived on CRAN yesterday. RcppCNPy provides R with read and write access to NumPy files thanks to the cnpy library by Carl...
A bug-fix release RcppClassic 0.9.8 for the very recent 0.9.7 release which fixes a build issue on macOS introduced in 0.9.7. No other changes. Courtesy of CRANberries, there are...
I am pleased to announce that vtreat version 0.6.0 is now available to R users on CRAN. vtreat is an excellent way to prepare data for machine learning, statistical...
Statistics are often taught in school by and for people who like Mathematics. As a consequence, in those class emphasis is put on leaning equations, solving calculus problems and...
By Gabriel Vasconcelos Regression Trees In this post I am going to discuss some features of Regression Trees an Random Forests. Regression Trees are know to be very unstable,...
Welcome everybody, we are proud to introduce the brand new web page and blog http://www.R-exams.org/. This provides a central access point for the open-source software “exams” implemented in the R system for...
We have dabbled with RevoScaleR before , In this exercise we will work with H2O , another high performance R library which can handle big data very effectively .It...
If you'd like to get started using R with Spark, you'll need to set up a Spark cluster and install R and all the other necessary software on the...
t-SNE is a very powerful technique that can be used for visualising (looking for patterns) in multi-dimensional data. Great things have been said about this technique. In this blog...
There are substantial differences between ad-hoc analyses (be they: machine learning research, data science contests, or other demonstrations) and production worthy systems. Roughly: ad-hoc analyses have to be correct...
The United States Patent and Trademark office (USPTO) provides immense amounts of data (the data I used are in the form of XML files). After coming across these datasets,...
This past Tuesday was Talk Like A Pirate Date, the unofficial holiday of R (aRRR!) users worldwide. In recognition of the day, Bob Rudis used R to create this...
Exploratory Data Analysis of Tropical Storms in R The disastrous impact of recent hurricanes, Harvey and Irma, generated a large influx of data within the online community. I was...
Week 3 Gold Mining and Fantasy Football Projection Roundup now available. Go get that free agent gold! The post Gold-Mining – Week 3 (2017) appeared first on Fantasy Football Analytics.
Imagine you were going to a party in an unfamiliar area, and asked the host for directions to their house. It takes you thirty minutes to get there, on...
A previous entry (http://sas-and-r.blogspot.com/2017/07/options-for-teaching-r-to-beginners.html) describes an approach to teaching graphics in R that also “get students doing powerful things quickly”, as David Robinson suggested. In this guest blog entry, Randall Pruim...
R has a lot of packages for users to analyse posts on social media. As an experiment in this field, I decided to start with the biggest one: Facebook....
Well I walk upon the river like it’s easier than land (Love is All, The Tallest Man on Earth) The Metropolitan Museum of Art provides here a dataset with...
Euler Problem 32 returns to pandigital numbers, which are numbers that contain one of each digit. Like so many of the Euler Problems, these numbers serve no practical purpose...
Editors Note: It has been heartbreaking watching the images from México City. Teresa Ortiz, co-organizer of R-Ladies CDMX reports on efforts of data scientists to help. Our thoughts are...
Past posts on this blog have included several relating to Monte Carlo simulation - e.g., see here, here, and here.Recently I came across a great article by Matthew Sigal...
This is the second exercise set on answering probability questions with simulation. Finishing the first exercise set is not a prerequisite. The difficulty level is about the same –...
Changes are coming to the internals of the R engine which promise to improve performance and reduce memory use, with dramatic impacts in some circumstances. The changes were first...
A first update 0.0.2 of the pinp package arrived on CRAN just a few days after the initial release. We added a new vignette for the package (see below),...
Hi! We have added R API for mljar - so you can run sklearn, xgboost, lightGBM, Keras, RGF from one R line :) Please check it on https://github.com/mljar/mljar-api-R
