Generalized Linear Models and Nonparametric Regression
Completed by Jash Patel
November 22, 2025
42 hours (approximately)
Jash Patel's account is verified. Coursera certifies their successful completion of Generalized Linear Models and Nonparametric Regression
What you will learn
Describe how to generalize the linear model framework to accommodate data that is not suitable for the standard linear regression model.
State some advantages and disadvantages of (generalized) additive models.
Describe how an additive model can be generalized to incorporate non-normal response variables (i.e., define a generalized additive model).
Skills you will gain
- Category: R Programming
- Category: Model Evaluation
- Category: Data Ethics
- Category: Classification Algorithms
- Category: Logistic Regression
- Category: Regression Analysis
- Category: Calculus
- Category: Machine Learning
- Category: Data Analysis
- Category: Linear Algebra
- Category: Statistical Modeling
