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Regression Analysis for Statistics & Machine Learning in R, Learn Complete Hands-On Regression Analysis for Practical Statistical Modelling and Machine Learning in R
Created by Minerva Singh
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What you'll learn
- 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
- Learn when and how machine learning models should be applied
- Compare different different machine learning algorithms for regression modelling
Requirements
- Should have prior experience of working with R and RStudio
- Should have basic knowledge of statistics
- Should have prior experience of using simple linear regression modelling
- Should have interest in building on the previous concepts to learn which regression models are applicable under different circumstances
- Should have an interest in learning the machine learning based regression models in R
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