As data scientists, it can be downright impossible to drill into messy data. Fortunately, there's a new R package that helps us focus on a "high-density region". It's called ggdensity.
modelDown: Automate Explainable AI (Machine Learning) in R
Machine learning is great... until you have to explain it. Stakeholders are normally non-technical, C-suites that ultimately want to know what the model does for the business. And how it helps increase revenue or decrease costs. A new R package, modelDown can help.
Survival Analysis in R (in under 10-minutes)
Learn how to do survival analysis in R in under 10-minutes. Plus get 3 bonuses to take your survival plots to the NEXT LEVEL. Let's go!
The Most Overlooked R Package (That Can Get You Through A Data Science Job Interview)
If you are looking to learn about the most overlooked R package that can help you get through a job interview AND you probably don't know it yet, you've come to the right place, my friend! And, if you want a job in data science, I'm going to show you how THIS R package can help you get through an interview with 5 lines of code.
How I analyze 100+ ggplots at once
Big data? Lot's of time series? Traditionally you'd use ggplot facets. But that only works for a few datasets. Enter trelliscopejs. It's a game changer!
What is the Career Path for a Data Scientist? (From $75,000 to $150,000 salary in 1-year)
The data science career path is demystified in this article showing you 2 case studies and a ton of research on how to set your career up for going from $75,000 to $150,000 in 1-year.
The 14 most important data science skills (To get a $50,000 increase in salary)
Which skills are important to becoming a data scientist? How to pick a language? How to learn the skills? These questions and many more are answered in this post.
My 4 most important explainable AI visualizations (modelStudio)
The modelStudio library offers an interactive studio for developing and exploring explainable AI visualizations.
A new R package for Business Analytics... radiant
I'm super impressed by the radiant R package. With no prior exposure to radiant, I was able to complete a short business analytics report in under 10-minutes.
Introducing portfoliodown: The Data Science Portfolio Website Builder
I'm super excited to introduce a new R package that makes it painless for data scientists to create a professional.
Tidy Time Series Forecasting in R with Spark
I'm super excited to introduce the new Modeltime Backend for Spark. Let's use it to perform forecasting with tidymodels.
How to Make a Heatmap of Customers in R
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.