Learn Machine Learning Algorithms using R from experts with hands on examples and practice sessions. With 5 different pr
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
R Programming, Data Handling and Cleaning, Basic Statistics, Classical Machine Learning Algorithms, Model Selection and Validation, Advanced Machine Learning Algorithms, Ensemble Learning.
Write your own R scripts and work in R environment.
Import, manipulate, clean up, sanitize and export datasets.
Understand basic statistics and implement using R.
Understand data science life cycle while understanding steps of building, validating, improving and implementing the machine learning models.
This comprehensive Machine Learning Made Easy : Beginner to Advanced using 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 Machine Learning Made Easy : Beginner to Advanced using R course:
This course is perfect for:
Everything you need to know about this online course, from duration to certification
Course Instructor
Statinfer Solutions
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.
Machine Learning Made Easy : Beginner to Advanced using R isn't for you? Don't worry, explore these courses and advance your skills or learn something totally new.