Introduction to Grid Search Method
Explore the grid search method for hyperparameter optimization, understanding its exhaustive search of parameter combinations. Learn to apply it with scikit-learn in Python, grasp its advantages and limitations, and recognize when it is best suited for simpler models and smaller datasets.
We'll cover the following...
We'll cover the following...
What is the grid search method?
Grid search is a straightforward method for hyperparameter optimization in ML. It is a well-known approach (after the random search method) commonly employed by ML practitioners due to its simplicity and convenience of implementation. We’ll learn its theory and how to apply it in a simple ML project using the open-source Python library called scikit-learn.
The grid search procedure begins with the specification of a set of ...