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.