What Is Grid Search?

Explaining How To Obtain Optimal Hyperparameter Values

This article aims to explain what grid search is and how we can use to obtain optimal values of model hyperparameters.

I will explain all of the required concepts in simple terms along with outlining how we can implement the grid search in Python.

Photo by Evgeni Tcherkasski on Unsplash

1. The Problem

For the sake of simplicity, we can divide the analytical aspects of a data science project into three parts:

1. The first part would be all about gathering the required data and engineering the features.

2. The second part would revolve around choosing the right machine learning model.

3. The last part would be around finding the optimal hyperparameters.

Let’s understand the third part better because not only tuning hyperparameters is considered a black art, it is also a tedious task and takes time and effort.

This article aims to explain what grid search is and how we can use to obtain optimal values of model…