Design clever algorithms that discover hidden patterns and draw responses from unstructured, unlabeled data.
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Implement clustering methods such as k-means, agglomerative, and divisive
Write code in R to analyze market segmentation and consumer behavior
Estimate distribution and probabilities of different outcomes
Implement dimension reduction using principal component analysis
Apply anomaly detection methods to identify fraud
This comprehensive Applied Unsupervised Learning with R curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Applied Unsupervised Learning with R course:
This course is perfect for:
Everything you need to know about this online course, from duration to certification
Course Instructor
Packt Publishing
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
View Current Pricing
Check provider for latest offers
Pricing may vary. Check the course provider for current promotions and exact pricing.
Applied Unsupervised Learning with R isn't for you? Don't worry, explore these courses and advance your skills or learn something totally new.
