LASSO regression using tidymodels and #TidyTuesday data for The Office
I’ve been publishing screencasts demonstrating how to use the tidymodels framework, from first steps in modeling to how to tune more complex models. Today, I’m using this week’s #TidyTuesday dataset on The Office to show how to build a lasso regression model and choose regularization parameters!
Preprocessing and resampling using #TidyTuesday college data
I’ve been publishing screencasts demonstrating how to use the tidymodels framework, from first getting started to how to tune machine learning models. Today, I’m using this week’s #TidyTuesday dataset on college tuition and diversity at US colleges to show some data preprocessing steps and how to use resampling!
Hyperparameter tuning and #TidyTuesday food consumption
Last week I published a screencast demonstrating how to use the tidymodels framework and specifically the recipes package. Today, I’m using this week’s #TidyTuesday dataset on food consumption around the world to show hyperparameter tuning!
#TidyTuesday hotel bookings and recipes
Last week I published my first screencast showing how to use the tidymodels framework for machine learning and modeling in R. Today, I’m using this week’s #TidyTuesday dataset on hotel bookings to show how to use one of the tidymodels packages recipes with some simple models!
#TidyTuesday and tidymodels
This week I started my new job as a software engineer at RStudio, working with Max Kuhn and other folks on tidymodels. I am really excited about tidymodels because my own experience as a practicing data scientist has shown me some of the areas for growth that still exist in open source software when it comes to modeling and machine learning.
Modeling salary and gender in the tech industry
One of the biggest projects I have worked on over the past several years is the Stack Overflow Developer Survey, and one of the most unique aspects of this survey is the extensive salary data that is collected.
Opioid prescribing habits in Texas
A paper I worked on was just published in a medical journal. This is quite an odd thing for me to be able to say, given my academic background and the career path I have had, but there you go!
(Re)Launching my supervised machine learning course
Today I am happy to announce a new(-ish), free, online, interactive course that I have developed, Supervised Machine Learning: Case Studies in R! 💫
Supervised machine learning in R Predictive modeling, or supervised machine learning, is a powerful tool for using data to make predictions about the world around us.
Practice using lubridate... THEATRICALLY
I am so pleased to now be an RStudio-certified tidyverse trainer! 🎉 I have been teaching technical content for decades, whether in a university classroom, developing online courses, or leading workshops, but I still found this program valuable for my own professonal development.
Introducing tidylo
Today I am so pleased to introduce a new package for calculating weighted log odds ratios, tidylo.
Often in data analysis, we want to measure how the usage or frequency of some feature, such as words, differs across some group or set, such as documents.