A tutorial showing how to get started with R in IBM Watson Studio. It provides a free, hosted R environment. What’s not to love?
All in datascience
A tutorial showing how to get started with R in IBM Watson Studio. It provides a free, hosted R environment. What’s not to love?
An overview of my experience in the NASA Datanaut kickoff session
An introduction to the Data + Art STEAM project with Forest Hill Junior and Senior Public School in Toronto!
A fun summertime blog creating LaCroix themed R graphs using LaCroixColoR & Magick animations
A tutorial demonstrating how to create time based heatmaps in R. Technologies include: R, Watson Studio and IBM Cloud.
A troubleshooting guide to installing R packages. Covers base R upgrades, different repos, typo-proofing and more!
A tutorial exploring RAW Graphs; a free tool enabling everyone to create high-end, data science style graphs without the code!
A look at Google's "Best Apps of 2017" lists. In this tutorial we use screen scraping and a wide variety of visualization techniques. Technologies include: R, Data Science Experience and IBM Cloud.
Part 4 of 4 in a tutorial showing how to perform end to end predictive analytics to solve your business problem. The tutorial focuses on creating, selecting and implementing predictive models. It uses R notebooks, Data Science Experience and IBM Cloud.
Part 1 of 4 in a tutorial showing how to perform end to end predictive analytics to solve your business problem. The tutorial uses R notebooks, Data Science Experience and IBM Cloud.
As predictive analytics takes one step closer to mainstream adoption, we explore the concept in detail and break it down into actionable steps.
PixieDust allows simple and interactive data analysis right within the output cell of your python notebook.