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Machine Learning in the Tidyverse

4.0+
13 reviews
Intermediate

Leverage the tools in the tidyverse to generate, explore and evaluate machine learning models.

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5 Hours15 Videos52 Exercises
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Course Description

This course will teach you to leverage the tools in the "tidyverse" to generate, explore, and evaluate machine learning models. Using a combination of tidyr and purrr packages, you will build a foundation for how to work with complex model objects in a "tidy" way. You will also learn how to leverage the broom package to explore your resulting models. You will then be introduced to the tools in the test-train-validate workflow, which will empower you evaluate the performance of both classification and regression models as well as provide the necessary information to optimize model performance via hyperparameter tuning.
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In the following Tracks

Intermediate Tidyverse Toolbox

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Machine Learning Scientist with R

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Supervised Machine Learning in R

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  1. 1

    Foundations of "tidy" Machine learning

    Free

    This chapter will introduce you to the backbone of machine learning in the tidyverse, the List Column Workflow (LCW). The LCW will empower you to work with many models in one dataframe.
    This chapter will also introduce you to the fundamentals of the broom package for exploring your models.

    Play Chapter Now
    Foundations of "tidy" machine learning
    50 xp
    Nesting your data
    100 xp
    Unnesting your data
    100 xp
    Explore a nested cell
    100 xp
    The map family of functions
    50 xp
    Mapping your data
    100 xp
    Expecting mapped output
    100 xp
    Mapping many models
    100 xp
    Tidy your models with broom
    50 xp
    The three ways to tidy your model
    50 xp
    Extracting model statistics tidily
    100 xp
    Augmenting your data
    100 xp
For Business

GroupTraining 2 or more people?

Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more

In the following Tracks

Intermediate Tidyverse Toolbox

Go To Track

Machine Learning Scientist with R

Go To Track

Supervised Machine Learning in R

Go To Track

Datasets

GapminderAttrition

Collaborators

Collaborator's avatar
Chester Ismay
Collaborator's avatar
Sumedh Panchadhar
Collaborator's avatar
Eunkyung Park
Dmitriy Gorenshteyn HeadshotDmitriy Gorenshteyn

Lead Data Scientist at Memorial Sloan Kettering Cancer Center

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Don’t just take our word for it

*4.0
from 13 reviews
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  • Nicolas F.
    12 months

    This was a game changer for me learning how to use machine learning workflows in the tidyverse.

  • Kyaw A.
    about 1 year

    I never thought that I can use Tidyverse package for Machine Learning. Awesome!!! Check it out.

  • Harri T.
    about 1 year

    An excellent course to prepare for data science certification.

  • Edwin A.
    over 1 year

    I recommend this course for those who want to learn machine learning using Tidyverse in R.

  • Fabrizio U.
    over 1 year

    One of the best courses

"This was a game changer for me learning how to use machine learning workflows in the tidyverse."

Nicolas F.

"I never thought that I can use Tidyverse package for Machine Learning. Awesome!!! Check it out."

Kyaw A.

"An excellent course to prepare for data science certification."

Harri T.

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