Hi there,
I am new here and would like to do machine learning. To start with, I’ve set myself the following task: I want to classify sensors (of the same type). The sensor delivers measured values that are temperature-dependent. So I’m taking readings while I’m changing the temperature. When I have finished the measurement, I have an array with sensor readings and an array with temperature values. This is a complete data set, e.g. B. contains 100 values each. Now I have recorded readings from several sensors while always changing the temperature in the same way. I have result data for the sensors (good or bad, 1 or 0, true or false). How can you process that with machine learning? I’m a complete newbie to the field and don’t know how to approach the subject.
If your data has some kind of time dimension I suggest you to start to run and modify some of the Keras Timeseries examples: