What you’ll learn
- Your comprehensive guide to Regression Analysis & supervised machine learning using R-programming language
- Graphically representing data in R before and after analysis
- It covers the theory and applications of supervised machine learning with the focus on regression analysis using the R-programming language in R-Studio
- Implement Ordinary Least Square (or simple linear) regression, Random FOrest Regression, Decision Trees, Logistic regression and others using R
- Perform model’s variable selection and assess regression model’s accuracy
- Build machine learning based regression models and test their performance in R
- Compare different different machine learning models for regression tasks in R
- Learn how to select the best statistical & machine learning model for your task
- Learn when and how machine learning models should be applied
- Carry out coding exercises & your independent project assignment
How to Enroll Regression Analysis in R for Machine Learning & Data Science course?
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