Overview
Key Features
Supervised learning methods are central to your journey in data science. Join the Supervised Machine Learning in R course at Data Camp and 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.
Programme Structure
Courses include:
- Machine Learning in the Tidyverse
- Intermediate Regression in R
- Modeling with tidymodels in R
- Machine Learning with Tree-Based Models in R
- Support Vector Machines in R
- Hyperparameter Tuning in R
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Disciplines
Data Science & Big Data Web Technologies & Cloud Computing Machine Learning View 265 other Short Courses in Machine Learning in United StatesAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Tuition Fee
To always see correct tuition fees
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days.
Basic Access: Free; Premium (for individuals): $12.42 per month billed annually; Teams: $25 per month billed annually; Enterprise: Contact sales for pricing
Funding
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