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I'm not familiar with the ways and tools of data scientists but I have a background in software engineering and mathematics. I'd need to recognize patterns in a two-dimensional data set. I have a lot of measurements of a valve's power consumption over time. The valve is under test. I'd need to tell based on the measurements if the valve is working properly or not. I have sample measurements of properly working and not properly working valves. This is a custom valve so it has no datasheet. I think I could start investigating this on my own but some insight from you would be really great. For example, what are some good tools I can use to analyze the data? Is there any recommended standard way of doing this? Are there any good references I could follow? Thank you.

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closed as too broad by Stephen Rauch, Toros91, chewpakabra, Siong Thye Goh, OmG May 27 '18 at 17:52

Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. Avoid asking multiple distinct questions at once. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.

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    $\begingroup$ As a software engineer learning some data science, you might want to check out the great course offered (for free!) by fast.ai. $\endgroup$ – n1k31t4 May 24 '18 at 7:41