Greetings from noob land. I've been tasked with developing an anomaly detection model for a ml showcase that's happening in my place.
So far, I've understood the conceptual design of the idea and read up on Ericson's time series approach. Anybody got any guidelines for me? What should I look at? Any pointers would be great.
Source: Reddit Machine Learning