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Supervised Machine Learning in R
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RMachine Learning25 hours6 courses2,205Statement of Accomplishment
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Track Description
Supervised Machine Learning in R
Prerequisites
There are no prerequisites for this trackCourse
Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.
Course
Learn to perform linear and logistic regression with multiple explanatory variables.
Course
Learn to streamline your machine learning workflows with tidymodels.
Course
Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.
Course
This course will introduce the support vector machine (SVM) using an intuitive, visual approach.
Course
Learn how to tune your model's hyperparameters to get the best predictive results.
Supervised Machine Learning in R
6 courses
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