Dive into the exciting world of classification with R and the elegant tidymodels framework! This hands-on workshop provides a comprehensive introduction to building, evaluating, and refining machine learning models that predict categorical outcomes. You'll learn to preprocess your data effectively using recipes, split datasets for robust model training and testing with rsample, define and fit various classification algorithms using parsnip, and assess model performance using a suite of metrics from yardstick. Through practical exercises, including a wine classification challenge, you'll gain the skills to tackle real-world predictive problems and make data-driven decisions using the consistent and intuitive tidymodels ecosystem.
Harshavardhan Bajoria
Unstop
R-Classification: Unleashing Predictive Power with tidymodels
Dive into the exciting world of classification with R and the elegant tidymodels framework! This hands-on workshop provides a comprehensive introduction to building, evaluating, and refining machine learning models that predict categorical outcomes. You'll learn to preprocess your data effectively using recipes, split datasets for robust model training and testing with rsample, define and fit various classification algorithms using parsnip, and assess model performance using a suite of metrics from yardstick. Through practical exercises, including a wine classification challenge, you'll gain the skills to tackle real-world predictive problems and make data-driven decisions using the consistent and intuitive tidymodels ecosystem.