Generalized Linear Models and Nonparametric Regression
Completed by Shuang Yang
July 8, 2023
42 hours (approximately)
Shuang Yang'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: Predictive Modeling
- Category: Model Evaluation
- Category: R Programming
- Category: Probability Distribution
- Category: R (Software)
- Category: Data Science
- Category: Statistical Modeling
- Category: Linear Algebra
- Category: Data Ethics
- Category: Logistic Regression
- Category: Statistical Methods
- Category: Regression Analysis
