Hi,
As a kind of continuation of my previous question: Send data from IoT central to Azure Machine Learning Resource
I am wondering how I can filter my data to send to Machine Learning. I have multiple devices that are exporting data from IoT Central to Azure Blob Storage, I am wondering how I can filter the data for each device so I can send to a Machine Learning model?
Additionally, do I need to create multiple ML models for each device or can I send all filtered data to the same model? (For ex. If I have 5 devices collecting temperature data and I want to predict if the device user has a cold, I want to use the same model that predicts colds but I want to predict separately for each user based on their data)
Thanks so much!