Explore the tidymodels packages in R using #TidyTuesday data on MMR vaccination rates by state in this informative 26-minute tutorial. Learn to create classification models, make predictions, calculate confidence intervals, and visualize results. Dive into Bayesian modeling techniques, compare different modeling approaches, and gain practical experience in fitting and evaluating models using real-world vaccination data.
Overview
Syllabus
Introduction
Data
measles DF
classification model
predict
confidence interval
visualization
Bayesian model
Student T
Fitting
Finished model
Comparing results
Conclusion
Taught by
Julia Silge
