Learn Complete Hands-On Regression Analysis for Practical Statistical Modelling and Machine Learning 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.
Implement and infer Ordinary Least Square (OLS) regression using R
Apply statistical and machine learning based regression models to deals with problems such as multicollinearity
Carry out variable selection and assess model accuracy using techniques like cross-validation
Implement and infer Generalized Linear Models (GLMS), including using logistic regression as a binary classifier
Build machine learning based regression models and test their robustness in R
This comprehensive Regression Analysis for Statistics & 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.
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What you need before starting this Regression Analysis for Statistics & 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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