Regression Analysis in R for Machine Learning & Data Science

Learn Complete Hands-On Regression Analysis in R for Machine Learning, Statistical Analysis, Data Science, Deep Learning

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

The course is ideal for professionals who need to use regression analysis & supervised machine learning in their field
Everyone who would like to learn Data Science Applications In The R & R Studio Environment
Everyone who would like to learn theory and implementation of Regression Analysis & Machine Learning On Real-World Data