Get started by learning how to specify and train a model using tidymodels. Read more »
Analyze the results of correlation tests and simple regression models for many data sets at once. Read more »
Summarize clustering characteristics and estimate the best number of clusters for a data set. Read more »
Prepare data for modeling with modular preprocessing steps. Read more »
Apply bootstrap resampling to estimate uncertainty in model parameters. Read more »
Write tidy(), glance(), and augment() methods for new model objects. Read more »
Create models that use coefficients, extract them from fitted models, and visualize them. Read more »
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