Generalized Linear Models and Nonparametric Regression
Completed by Jonathan Lampkin
July 6, 2024
42 hours (approximately)
Jonathan Lampkin'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: Data Modeling
- Category: R Programming
- Category: Probability Distribution
- Category: Model Evaluation
- Category: Data Ethics
- Category: Statistical Analysis
- Category: R (Software)
- Category: Predictive Modeling
- Category: Statistical Inference
- Category: Logistic Regression
- Category: Statistical Modeling
- Category: Linear Algebra
