Explore the advanced topics in Machine Learning with R in a step by step manner to build powerful predictive models in R
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Process a classic dataset, from data cleaning to presenting results with effective graphics.
Evaluate the performance of your models and put your model into use.
Explore advanced techniques such as hyper parameter tuning and deep learning.
Incorporate R and Hadoop to solve machine learning problems on big data.
Classify data with the help of statistical methods such as k-NN Classification, Logistic Regression, and Decision Trees.
This comprehensive R: Machine Learning with R - Beginner to Expert!: 4-in-1 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 R: Machine Learning with R - Beginner to Expert!: 4-in-1 course:
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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.
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