##### A predictive modeling case study

Develop, from beginning to end, a predictive model using best practices.

SVMs

bootstrapping

classification

confidence intervals

correlation

developer tools

fairness

hypothesis testing

model fitting

multivariate analysis

neural networks

parsnip

pre-processing

probably

recipes

regression

rsample

statistical analysis

survival analysis

tidying results

time series

tuning

workflows

yardstick

Learn how to go farther with tidymodels in your modeling and machine learning projects.

After you know what you need to get started with tidymodels, you can learn more and go further. Find articles here to help you solve specific problems using the tidymodels framework.