IBM Developer

Topics
Blog
More
Events
TechXchange

Home

Topics

Artificial intelligence
Analytics
Cloud
Containers
Data science
DevOps
Generative AI
Machine learning
Messaging
Observability
Security
View all

Java
Node.js
Python
View all

watsonx.ai
watsonx.data
watsonx.governance
watsonx Orchestrate
Watson Discovery
Watson Studio
IBM Z
Linux
Red Hat OpenShift
View all

Granite models
InstructLab
Kubernetes
Open Liberty
PyTorch
View all

Blog

More

IBM Documentation

IBM Developer Videos

IBM Technology Videos

Open Source @ IBM

Events

TechXchange Community Events

TechXchange Conference

TechXchange

Options

Loading page...

IBM Developer
About
FAQ
Third-party notice

Follow Us
X
LinkedIn
YouTube

Explore
Open Source @ IBM
IBM API Hub

Contact IBM
Privacy
Terms of use
Accessibility

Tutorial

Implementing ridge regression in R

Learn the fundamentals of implementing ridge regression in R using Jupyter Notebooks on IBM watsonx.ai

By Nikhil Gopal

Like

Save

On this page

07 March 2024

Tutorial

Time to read: 45 minutes

Legend

Technologies
Products & Services

Machine Learning

Artificial intelligence

Machine Learning
Artificial intelligence
Data science
watsonx.ai
Cluster analysis in R
Linear regression in R
Create a confusion matrix with R
Try watsonx.ai

Interested in generative AI?

Learn generative AI skills

Like

Save