Parameter Searching
Explore the process of parameter searching using GridSearchCV in sklearn to automate fine-tuning for machine learning models. Understand how to set up parameter grids, run exhaustive searches, and interpret results to select the best model parameters, improving your model evaluation skills.
We'll cover the following...
We'll cover the following...
Fine-tuning parameters is an important part of a Machine Learning project, especially in Deep Learning. Although this course focuses on traditional Machine Learning, a few parameters need to be adjusted and the parameter space is limited. However, some models still require lots of parameters, such as a tree-based model.
In practice, people fine-tune by hand. They try a series of values ...