Harness The Power Of Machine Learning For Unsupervised & Supervised Learning In R -- With Practical Examples
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Be Able To Harness The Power Of R For Practical Data Science
Read In Data Into The R Environment From Different Sources
Carry Out Basic Data Pre-processing & Wrangling In R Studio
Implement Unsupervised/Clustering Techniques Such As k-means Clustering
Implement Dimensional Reduction Techniques (PCA) & Feature Selection
This comprehensive Clustering & Classification With Machine Learning In 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 Clustering & Classification With Machine Learning In R course:
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Everything you need to know about this online course, from duration to certification
Course Instructor
Minerva Singh
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.
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