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Track

Supervised Machine Learning in R

Generate, explore, evaluate, and tune the parameters of different supervised machine learning models.

  • R
  • Machine Learning
  • 25 hr
  • 3,158

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Track Description

Supervised Machine Learning in R

Supervised learning methods are central to your journey in data science. Learn how to generate, explore, and evaluate machine learning models by leveraging the tools in the Tidyverse. You'll learn about multiple and logistic regression techniques, tree-based models, and support vector machines. Finally, you'll learn how to tune your model's parameters for better performance.

Prerequisites

There are no prerequisites for this track

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