Coursera Project Network
Tidymodels in R: Building tidy machine learning models
Coursera Project Network

Tidymodels in R: Building tidy machine learning models

Taught in English

Included with Coursera Plus

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Intermediate level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning

What you'll learn

  • Import, explore, and prepare the data for modeling using summary tables, data visualizations, and data splitting using tidymodels

  • Build and tune predictive models, including classification models with tidymodels

  • Evaluate model performance using appropriate metrics and techniques, and select the best model

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Recently updated!

March 2024

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Intermediate level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning

See how employees at top companies are mastering in-demand skills

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Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
  • Build confidence using the latest tools and technologies
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About this Guided Project

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Set up and overview of the project

  2. Describe and summarize the data

  3. Explore the data using visualizations

  4. Check for data issues and create data splits for modeling

  5. Create a recipe and specify the models

  6. Create a workflow set and tune the hyperparameters

  7. Evaluate and select prediction models

  8. Finalize the workflow

  9. Evaluate the model on the test set

  10. Fitting and using the final model

Recommended experience

A good understanding of data manipulation and visualization using tidyverse packages in R and some knowledge of machine learning concepts.

9 project images

Instructor

Arimoro Olayinka Imisioluwa
Coursera Project Network
36 Courses70,750 learners

Offered by

How you'll learn

  • Skill-based, hands-on learning

    Practice new skills by completing job-related tasks.

  • Expert guidance

    Follow along with pre-recorded videos from experts using a unique side-by-side interface.

  • No downloads or installation required

    Access the tools and resources you need in a pre-configured cloud workspace.

  • Available only on desktop

    This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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