Regression Analysis for Statistics & Machine Learning in R

What You Will Learn

You will work directly in R and RStudio, applying each technique to real datasets as you go. Concepts are introduced with just enough theory to understand the why, then you'll dive into coding and interpreting results. By practicing each method, you'll build confidence to use regression analysis in your own projects.

Key Features

• Build and interpret OLS, logistic, and Poisson regression models in R
• Handle multicollinearity and select variables using statistical and ML techniques
• Assess model accuracy and apply cross-validation for robust predictions

Target Audience

Ideal for those with basic R experience who want to apply regression analysis in data science or analytics roles. If you're looking to move beyond theory and use statistical modeling for real-world data, you'll find practical skills and workflows to boost your analysis and forecasting abilities.