Get the essential machine learning skills and use them in real life situations
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Understand the essential concepts related to machine learning
Perform model cross-validation to assess model stability on independent data sets
Execute advanced regression analysis techniques: best subset selection regression, penalized regression, PLS regression
Perform logistic regression and discriminant analysis
Apply complex classification techniques: naive Bayes, K nearest neighbor, support vector machine, decision trees
This comprehensive Applied 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 Applied Machine Learning in R course:
This course is perfect for:
Everything you need to know about this online course, from duration to certification
Course Instructor
Bogdan Anastasiei
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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