Introduction to Machine Learning with Tidymodels

September 15, 2021

Date

September 15, 2021

Time

3:00 AM – 9:00 AM

Location

remote

Event

Due to COVID-19, the conference was held remotely instead of in Bari, Italy.

This six-hour workshop will provide a gentle introduction to machine learning with R using the modern suite of predictive modeling packages called tidymodels. We will build, evaluate, compare, and tune predictive models. Along the way, we’ll learn about key concepts in machine learning including overfitting, the holdout method, the bias-variance trade-off, ensembling, cross-validation, and feature engineering. Learners will gain knowledge about good predictive modeling practices, as well as hands-on experience using tidymodels packages like parsnip, rsample, recipes, yardstick, tune, and workflows.

Posted on:
September 15, 2021
Length:
1 minute read, 94 words
Categories:
workshop
Tags:
tidymodels machine learning
See Also:
Introduction to Machine Learning with the Tidyverse
tidymodels.org
Take a Sad Script & Make it Better: Tidymodels Edition