Classifying Bigfoot Encounters
In this post I analyze a TidyTuesday data set about Bigfoot Encounters. After exploring the data I test several different text model to categorize the quality of Bigfoot enounters based on their free text description.
In this post I analyze a TidyTuesday data set about Bigfoot Encounters. After exploring the data I test several different text model to categorize the quality of Bigfoot enounters based on their free text description.
This post analyzes a TidyTuesday data set about Pell Grants. After exploring the data I dig into changes in amounts post-2009 and create some visualizations.
This post looks at a TidyTuesday data set about dog breeds. After looking at the data I try developing my first topic model
This post looks at a past TidyTuesday data set about board game ratings. After looking at the data I attempt to predict avereage board game
This post looks at a TidyTuesday data set about chocolate. After looking at the data I compare text based and “traditional” modelling approaches to predict a chocolate ratings
This post looks at a TidyTuesday data set about changes in bee colonies After looking at the data I build and locally deploy a model api to predict the percentage of colonies lost
This post looks at a past TidyTuesday data set about ultra trail running. After looking at the data I attempt to quantify and compare the variation in rankings between countries.
This post looks at a TidyTuesday data set about the contents of various Starbucks drinks. After epxploring the data I model the effect whiped cream has on calories across variosu types of drinks.