Sentiment analysis with tidymodels and #TidyTuesday Animal Crossing reviews
A lot has been happening in the tidymodels ecosystem lately! There are many possible projects we on the tidymodels team could focus on next; we are interested in gathering community feedback to inform our priorities.
Modeling #TidyTuesday GDPR violations with tidymodels
This is an exciting week for us on the tidymodels team; we launched tidymodels.org, a new central location with resources and documentation for tidymodels packages. There is a TON to explore and learn there!
PCA and the #TidyTuesday best hip hop songs ever
Lately 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 exploring a different part of the tidymodels framework; I’m showing how to implement principal component analysis via recipes with this week’s #TidyTuesday dataset on the best hip hop songs of all time as determinded by a BBC poll of music critics.
Bootstrap resampling with #TidyTuesday beer production data
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 beer production to show how to use bootstrap resampling to estimate model parameters.
Tuning random forest hyperparameters with #TidyTuesday trees data
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 a #TidyTuesday dataset from earlier this year on trees around San Francisco to show how to tune the hyperparameters of a random forest model and then use the final best model.
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.