Series

tidymodels

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The `workflowsets` Package

Data Science

R

Modeling

This post covers the workflowsets package, which focuses on quickly and easily fitting a large number of models by creating a set that holds several workflow objects.

The `stacks` Package

Data Science

R

Modeling

This post covers the stacks package, which focuses on combining the outputs of many models into a single model, a process called ensembling.

The `broom` Package

Data Science

R

Modeling

This post covers the broom package, which focuses accessing and print key information about a model object in a “tidy” fashion.

The `workflows` Package

Data Science

R

Modeling

This post covers the workflows package, which focuses on bundling together many of the steps previously covered in this series.

The `tune` and `dials` Packages

Data Science

R

Modeling

This post covers the tune and dials packages, which focus on defining and optimizing model hyperparameters.

The `yardstick` Package

Data Science

R

Modeling

This post covers the yardstick package, which focuses on providing model performance estimations.

The `parsnip` Package

Data Science

R

Modeling

This post covers the parsnip package, which provides a common API to make model building in R easier.

The `recipes` Package

Data Science

R

Feature Engineering

This post covers the recipes package, which is all about feature engineering.

The `rsample` Package

Data Science

R

Sampling

This post covers the rsample package, which is all about data resampling.

rstudio::conf 2020 Tidy Forecasting Workshop (Day 2) (Part 2)

Data Science

R

Time Series

This post documents my experience in the Tidy Time Series and Forecasting in R workshop at rstudio::conf 2020 that took place in San Francisco, CA during January 27-30, 2020.

rstudio::conf 2020 Tidy Forecasting Workshop (Day 2) (Part 1)

Data Science

R

Time Series

This post documents my experience in the Tidy Time Series and Forecasting in R workshop at rstudio::conf 2020 that took place in San Francisco, CA during January 27-30, 2020.

rstudio::conf 2020 Tidy Forecasting Workshop (Day 1)

Data Science

R

Time Series

This post documents my experience in the Tidy Time Series and Forecasting in R workshop at rstudio::conf 2020 that took place in San Francisco, CA during January 27-30, 2020.