Explore hyperparameter tuning for random forest models using #TidyTuesday data on global food consumption. Dive into data preparation, model building, and visualization techniques. Learn to implement parallel processing for efficient hyperparameter optimization. Gain practical insights on applying tidymodels for advanced machine learning tasks.
Overview
Syllabus
Introduction
Data
CountryCode
Data format
Modeling function
Building a model
Scatter Plot
Hyperparameter Tuning
Modes
Collect Metrics
Parallel Processing
Taught by
Julia Silge
