Detecting diabetes using a grid search

We will be predicting diabetes on a of patients by using a deep learning algorithm, which we will optimize with a grid search to find the optimal hyperparameters. We are going to be doing this project in Jupyter Notebook, as follows:

1. Start by opening up Command Prompt in Windows or Terminal in Linux systems. We will navigate to our project directory using the cd command.
2. Our next step is to open the Jupyter Notebook by typing the following command:

jupyter notebook

Alternatively, you can use the jupyter lab command to open an instance of Jupyter Lab, which is just a better version of Notebook.

3. Once the Notebook is open, we will rename the unnamed file to Deep Learning Grid Search.
4. We will then import our packages using general import statements. We will print the version numbers, as shown in the following screenshot:

Keras has two options...