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Overview
Context
Supervised learning methods are central to your journey in data science. During this Supervised Machine Learning in R course offered by Data Camp you'll learn about multiple and logistic regression techniques, tree-based models, and support vector machines. You'll also learn how to tune your model's parameters for better performance.
What you will do during this course:
- Learn to perform linear and logistic regression with multiple explanatory variables.
- Use logistic regression to determine which treatment procedure is more effective for kidney stone removal.
- Learn to streamline your machine learning workflows with tidymodels.
- Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels
- This course will introduce the support vector machine (SVM) using an intuitive, visual approach.
- Learn how to tune your model's hyperparameters to get the best predictive results.
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
- 3 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- New York City, United States
Disciplines
Machine Learning View 213 other Short Courses in Machine Learning in United StatesWhat students do after studying
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Academic 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.
Other requirements
General requirements
- There are no prerequisites for this track
- This track is suitable for beginners.
- This track is particularly beneficial to data scientists, machine learning engineers, and researchers, though any job that requires knowledge of supervised machine learning will benefit from this track.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions
Funding
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