Publications by Business Science
Introducing Iterative (Nested) Forecasting with Modeltime
Iteratively forecast with tidyverse nested modeling Why is nested forecasting important? For starters, the ability to iteratively forecast time series with many models that are trained on many individual groups has been a huge request from students in our Time Series Course. Two methods exist for forecasting many time series that get results: ...
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Tidy Parallel Processing in R with furrr
Parallel processing in the tidyverse couldn’t be easier with the furrr package. If you are familiar with the purrr::map() function, then you’ll love furrr::future_map(), which we’ll use in this FREE R-Tip training to get a 2.6X speed-up in our code. R-Tips Weekly This article is part of R-Tips Weekly, a weekly video tutorial that shows you ...
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How to Make a Heatmap of Customers in R [Video]
The ggplot2 package is an essential tool in every data scientists toolkit. Today we show you how to use ggplot2 to make a professional heatmap that organizes customers by their sales purchasing habits. R-Tips Weekly This article is part of R-Tips Weekly, a weekly video tutorial that shows you step-by-step how to do common R coding tasks. Here are...
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Tidy Time Series Forecasting in R with Spark
I’m SUPER EXCITED to show fellow time-series enthusiasts a new way that we can scale time series analysis using an amazing technology called Spark! Without Spark, large-scale forecasting projects of 10,000 time series can take days to run because of long-running for-loops and the need to test many models on each time series. Spark has been wi...
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Introducing portfoliodown: The Data Science Portfolio Website Builder
I’m super excited to introduce portfoliodown, a new R package that makes it painless for data scientists to create a polished professional website so they can host their project portfolios, get great job interviews, and launch their data science careers. I’ll show of a short demo in this article. For those that want to learn more about launch...
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A new R package for Business Analytics… radiant
I’m super impressed by the radiant R package. With no prior experience with radiant, I was able to complete a short business analytics report in under 10-minutes. R-Tips Weekly This article is part of R-Tips Weekly, a weekly video tutorial that shows you step-by-step how to do common R coding tasks. Here are the links to get set up. 👇 Get t...
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My 4 most important explainable AI visualizations (modelStudio)
Machine learning is great, until you have to explain it. Thank god for modelStudio. modelStudio is a new R package that makes it easy to interactively explain machine learning models using state-of-the-art techniques like Shapley Values, Break Down plots, and Partial Dependence. I was shocked at how quickly I could get up and running! In the next...
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Which data science skills are important ($50,000 increase in salary in 6-months)
In late September 2021, David was a Research Analyst with Texas A&M University. In March of 2022, less than 6-months later, he has accepted a position with Microsoft as a Machine Learning Support Engineer. In one of my webinars, David explained that he had just increased his salary by $50,000. I told him that’s just the beginning. How was Dav...
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