I have a project in mind to use machine learning to detect that a home automation sensor has failed.
It's very possible to just write a set of rules in JS to determine whether the sensor is working or not, but I'd like to delve a little into ML.
Has anyone tried this before?
Can you point me in the right direction?
I have been playing with the machine learning v2 node, but it looks unmaintained. I have installed all the prerequisites and will just get on with reading about each component until I figure something out.
EDIT: I get you need quite a bit of data. I don't think this is an issue as sensor data over a period of time adds up and when you have a hundred of them it doesn't take long at all to accumulate a data set.