Anomaly Detection from available sensor data set? I am working on a live sensor data set and looking for abnormal patterns (leading to a machine fault condition) from the available data set. 

I am learning and new to the world of data science, but comfortable with Python. I have few questions that I am looking to get suggestions.


What kind of algorithms would be best suited for this case?
What are the basic steps for doing a predictive analysis in python?


Please correct me if my questions are not correctly framed.
You are talking about anomaly detection, and there are many approaches. If you can create a training set, one-class SVM is a place to start, but even simple control charts can be useful, particularly with live streaming data.