Machine Learning in the Tidyverse Data Camp

Overview

Context

This Machine Learning in the Tidyverse course at Data Campis ideal if you’re looking to integrate R's Tidyverse tools into your machine learning workflows.

The course begins by introducing the List Column Workflow (LCW), a method for managing multiple models within a single dataframe. It also covers using the broom package to tidy up and explore model outputs, making the complex results more interpretable.

Work through practical exercises including building and evaluating regression along with classification models. Explore techniques for tuning hyperparameters to optimize model performance.You will use packages like tidyr and purrr to handle complex data manipulations and model evaluations, ensuring a tidy and systematic approach to machine learning.