“This tutorial show how to create a machine learning model to predict diabetes in women, compile and run on Azure IoT Starter Kit.
This tutorial show how to create a machine learning model using PyTorch, trained to predict diabetics disease, based on an dataset from UCI Machine Learning Repository. The construction of this model was show by Juliano Viana in they lecture on QCon conference in 2018. Than we use Microsoft Embedded Learning Library to compile this machine learning model into an assembly file. So we used the machine learning model file in assembly to be run by a program within the Microsoft Azure IoT Starter Kit.
Creating and training the machine learning model
We use Anaconda as our main development tool, we install PyTorch and other libraries like: pandas, sklearn, matplotlib, and torch.onnx that we will explain later.”