The lab kit of the course: https://github.com/hrhouma2/aiopsatlas-ml-data-diagnostics-labs-en
The fault model of Week 6 learned on readings from before October. Has the data changed since? You compare the first quarter (January to March) with the last quarter (October to December) of readings.csv, sensor by sensor: mean, standard deviation and a PSI. Then you check whether the link between the sensors and fault_next_7d moved. You will name the sensor that drifted, explain why, and say whether that is a reason to retrain.
Preview — the rest of the lesson is for enrolled readers.
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