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Module 6 · Deep Learning + MLOps
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Time series: stationarity check
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📝 **Question:** Quick check whether a series is stationary? 📋 Pick the right answer. 💡 **Hint:** Re-read the theory above if unsure.
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📝 **Question:** Quick check whether a series is stationary? 📋 Pick the right answer. 💡 **Hint:** Re-read the theory above if unsure.
A
Eyeball the matplotlib line — if the trend looks flat over the visible window it's safe to treat as stationary.
B
ADF test: p<0.05 rejects null of unit root → stationary. Plus rolling mean/std plots.
C
FFT and check that the dominant frequency component sits below the Nyquist rate of the sampling cadence.
D
Doesn't matter — modern Prophet and transformer-based forecasters handle non-stationary inputs out of the box anyway.
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