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Machine Learning in the Tidyverse
Leverage the tools in the tidyverse to generate, explore and evaluate machine learning models.
Multiple and Logistic Regression in R
In this course you'll learn to add multiple variables to linear models and to use logistic regression for classification.
Tree-Based Models in R
In this course, you'll learn how to use tree-based models and ensembles for regression and classification.
Support Vector Machines in R
This course will introduce the support vector machine (SVM) using an intuitive, visual approach.
Hyperparameter Tuning in R
Learn how to tune your model's hyperparameters to get the best predictive results.