This talk was presented virtually at eRum 2020 and useR 2020 by Appsilon engineer Marcin Dubel. Here is a direct link to the video. Be Proud of Your Code! In this talk you’ll learn the tools and best practices for making clean, reproducible R code in a working environment ready to ...

Are you interested in guest posting? Publish at DataScience+ via your RStudio editor. Category Advanced Modeling Tags Data Visualisation R Programming spatial Ten months after part 1 of spatial regression in R (oh my gosh where did these months go?), here is a (hopefully long-awaited) second part this time using INLA, ...

Function expecting one column Functions allowing multiple columns Older approaches Appendix dplyr, the foundational tidyverse package, makes a trade-off between being easy to code in interactively at the expense of being more difficult to create...

In our last post, we took a quick look at building a portfolio based on the historical averages method for setting return expectations. Beginning in 1987, we used the first five years of monthly return data to simulate a thousand possible portfolio ...

Function expecting one column Functions allowing multiple columns Older approaches Appendix dplyr, the foundational tidyverse package, makes a trade-off between being easy to code in interactively at the expense of being more difficult to create...

In our last post, we took a quick look at building a portfolio based on the historical averages method for setting return expectations. Beginning in 1987, we used the first five years of monthly return data to simulate a thousand possible portfolio weights, found the average weights that met our risk-return ...

This is the third in a series of posts (previous posts: Part 1, Part 2) in which I look at the following paper: Kissler, Tedijanto, Goldstein, Grad, and Lipsitch, Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period, Science, vol. 368, pp. 860-868, 22 May 2020 (released online 14 April 2020).  The paper is also available […]

This article talks about why balancing your data set before you build a model is important. The post Why balancing your data set is important? appeared first on Hi! I am Nagdev.

D20 and Random Events In the game Dungeons and Dragons, the success or failure of an event is determined by rolling a 20 sided die (D20): higher is better. If you need to roll 11 or higher you have a 50% chance of success. If another event requires 10 or better you now have ...

D20 and Random Events In the game Dungeons and Dragons, the success or failure of an event is determined by rolling a 20 sided die (D20): higher is better. If you need to roll 11 or higher you have a 50% chance of success. If another event requires 10 or better you now have ...

This talk was presented virtually at eRum 2020 and useR 2020. Learn more about Appsilon‘s ML wildlife preservation project here. Yes, R programmers can make machine learning models, too! In this presentation, we will discuss using the latest techniques in computer vision as an important part of “AI for Good” efforts, ...

Photo by Zoltan Tasi on Unsplash In a recent series of blog posts, we introduced the idea of Serious Data Science to help tackle the challenges of effectively implementing data science in an organization. We then focused on the importance of delivering insights that are credible with your stakeholders and ...