Neural Network Projects with Python

Predicting Diabetes with Multilayer Perceptrons

In Chapter 2, Predicting Diabetes with Multilayer Perceptrons, we kicked off our first project by creating a neural network that can predict whether a patient is at risk of diabetes. Specifically, we used a neural network known as the MLP to perform this classification prediction. We used the Pima Indians Diabetes dataset for this problem. The dataset consists of 768 different data points, with eight measurements (that is, features) and one label for each data point.

As part of the machine learning workflow, we had to do data preprocessing before using this dataset with our neural network. We had to impute missing values, perform data standardization, and split our dataset into a training and ...