tidymodels

Tidymodels - An Overview

Invited talk at Aalborg RUG The tidymodels framework is a collection of R packages for modeling and machine learning using tidyverse principles. A large number of packages from preprocessing to evaluation come together to form a coherent framework for doing modeling: statistically, and machine learning-wise. This talk will walk through the landscape of packages and their individual place, helping you get a bird’s eye view.

Textrecipes series: Pretrained Word Embedding

This is the fifth blog post in a series I am starting to go over the various text preprocessing workflows you can do with textrecipes. This post looks at how to use pretrained word embeddings.

Textrecipes series: Feature Hashing

This is the fourth blog post in a series I am starting to go over the various text preprocessing workflows you can do with textrecipes. This post looks at how to perform feature hashing.

Textrecipes series: TF-IDF

This is the first blog post in a series I am starting to go over the various text preprocessing workflows you can do with textrecipes. This post looks at how

Textrecipes series: lexicons

This is the second blog post in a series I am starting to go over the various text preprocessing workflows you can do with textrecipes. This post talks about how to use lexicons.

Textrecipes series: Term Frequency

This is the first blog post in a series I am starting to go over the various text preprocessing workflows you can do with textrecipes.