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This course demonstrates data preprocessing and resampling with tidymodels in R using college tuition and diversity data. It builds and compares predictive models, then evaluates the selected model on test data.
Syllabus
Introduction
Data
States
State region
State table
Region table
Columns
Total Enrollment
exploratory plots
box plots
facet wrap
do schools with higher proportion of minority students
recipe
filter
steps
results
juice
logistic regression
model selection
resampling
group by model
testing data
Taught by
Julia Silge