Explainable AI Methods in R
This webinar introduces interpretable machine learning using R. Participants will learn how to build predictive models and explain their outputs using modern XAI tools such as feature importance, partial dependence plots, and SHAP-based methods. The session emphasizes responsible AI, model transparency, and practical implementation for real-world datasets.
Downloadable Materials
Synchronous Learning
Certificate
30-Day Enrollment
Recording
Session Info
- Date
- Tuesday, January 12th, 2027
- Time
- 12:00 am – 1:30 am
- Duration
- 90 minutes
- Timezone
- Africa/Lagos
- Platform
- YouTube Live
What's Included
- Live interactive session
- Downloadable course materials
- Certificate of attendance
- 30-day access to resources
- Session recording
You must be enrolled to access the recording.
OP