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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.

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1
R
Machine Learning in the Tidyverse

Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

5 hours

Dmitriy Gorenshteyn Headshot

Dmitriy Gorenshteyn

Lead Data Scientist at Memorial Sloan Kettering Cancer Center

2
R
Intermediate Regression in R

Learn to perform linear and logistic regression with multiple explanatory variables.

4 hours

Richie Cotton Headshot

Richie Cotton

Data Evangelist at DataCamp

3
R
Modeling with tidymodels in R

Learn to streamline your machine learning workflows with tidymodels.

4 hours

David Svancer Headshot

David Svancer

Data Scientist

4
R
Machine Learning with Tree-Based Models in R

Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

4 hours

Sandro Raabe Headshot

Sandro Raabe

Data Scientist

5
R
Support Vector Machines in R

This course will introduce the support vector machine (SVM) using an intuitive, visual approach.

4 hours

Kailash Awati Headshot

Kailash Awati

Senior Lecturer at University of Technology Sydney.

6
R
Hyperparameter Tuning in R

Learn how to tune your model's hyperparameters to get the best predictive results.

4 hours

Shirin Elsinghorst (formerly Glander) Headshot

Shirin Elsinghorst (formerly Glander)

Data Scientist @ codecentric

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Instructors

  • Dmitriy Gorenshteyn Headshot
    Dmitriy GorenshteynLead Data Scientist at Memorial Sloan Kettering Cancer CenterSee Dmitriy Gorenshteyn's Portfolio
  • Richie Cotton Headshot
    Richie CottonData Evangelist at DataCampSee Richie Cotton's Portfolio
  • David Svancer Headshot
    David SvancerData ScientistSee David Svancer's Portfolio
  • Sandro Raabe Headshot
    Sandro RaabeData ScientistSee Sandro Raabe's Portfolio

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