##### A predictive modeling case study

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

Bayesian optimization

SVMs

analysis of tables

bootstrapping

broom

calibration

case weights

class imbalances

classification

clustering

confidence intervals

correlation

developer tools

dials

discriminant analysis

extracting results

fairness

hypothesis testing

linear regression

logistic regression

model fitting

model tuning

multivariate analysis

nested resampling

neural networks

parsnip

partial least squares

pre-processing

probably

random forests

recipes

regression

resampling

rsample

statistical analysis

survival analysis

text analysis

tidying results

time series

torch

tune

tuning

workflow sets

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.