Skip to main content

Machine Learning in the Tidyverse

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

Start Course for Free
5 Hours15 Videos52 Exercises12,445 Learners4300 XPIntermediate Tidyverse Toolbox TrackMachine Learning Scientist TrackSupervised Machine Learning Track

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.

Loved by learners at thousands of companies


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.
  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

In the following tracks

Intermediate Tidyverse ToolboxMachine Learning ScientistSupervised Machine Learning

Collaborators

sumedhpanchadhar
Sumedh Panchadhar
chester
Chester Ismay
eunkyungparkk
Eunkyung Park
Dmitriy Gorenshteyn Headshot

Dmitriy Gorenshteyn

Lead Data Scientist at Memorial Sloan Kettering Cancer Center

Dmitriy is a Principal Data Scientist at Interos Inc. Previously, he worked in the Strategy & Innovation department at Memorial Sloan Kettering Cancer Center where he developed predictive models for programs aimed at improving patient care. Dmitriy completed his Doctorate in Quantitative & Computational Biology at Princeton University. His core teaching philosophy is centered on building intuition and understanding for the methods and tools available.
See More

What do other learners have to say?

Join over 10 million learners and start Machine Learning in the Tidyverse today!

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.