Category: R Books
Using R as an alternative to SAS (Statistical Analysis System) offers bespoke interactivity on top of R routines. It enables effective technical handling while engaging non-technical users through interactive data...continue reading.
Appsilon’s Top 10 Picks for the Upcoming posit::conf 2023 The posit::conf 2023 event is on the horizon, and the Appsilon team is brimming with excitement as they unveil their selection...continue reading.
In this tutorial, I’ll show you how to use the Sklearn Logistic Regression function to create logistic regression models in Python. I’ll quickly review what logistic regression is, explain the...continue reading.
Sooner or later, most R programmers end up with code that no longer runs because of package updates. One way to address the problem was the MRAN Time Machine which...continue reading.
I have a confession. I’m an American, and I was raised an American. But, I’ve been semi-nomadic for almost 10 years. A “digital nomad.” That is, I’ve lived in many...continue reading.
This is a great opportunity and I am honoured to be hosting this months T-SQL Tuesday blogging invitation. With the invitation of Steve, we have agreed to post topic on...continue reading.
For years, people have been talking about the era of “big data.” The data deluge. As early as 2010, The Economist wrote about how “quantity of information in the world...continue reading.
The first question that aspiring data scientists ask me is “what is the best data science language … which should I learn.” And almost always, this is framed as a...continue reading.