Lesson 7    ❮    Lesson List    ❮    Top Page

VALIDATION & PARAMETER OPTIMIZATION

In this lesson, we will see start by seeing a generalized form of linear regression--Generalized Linear Model. After that, we will revisit Ensemble Learners for the case of Regression. Finally, we will see various model validation and how to optimally choosing the parameters in classifier and regressor using random and grid search.