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Overview
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...
Syllabus
- Introduction to the course, Machine Learning & Regression Analysis
- Software used in this course R-Studio and Introduction to R
- R Crash Course - get started with R-programming in R-Studio
- Linear Regression Analysis for Supervised Machine Learning in R
- More types of regression models
- Non-Linear Regression Analysis in R: Polynomial & Spline regression, GAMs
- Non-Parametric Regression Analysis in R: Random Forest, Decision Trees and more
Instructor
Kate Alison
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