I’ve been analyzing a large set of time series data for a project and noticed some unusual spikes that I can’t explain. I’m concerned these anomalies might affect my results and overall conclusions. Could someone help me understand how to use Python for anomaly detection in time series data? Any specific libraries or techniques you recommend for identifying these irregularities effectively? Thanks in advance for your insights!
“Use Python’s tslearn or PyOD libraries for anomaly detection in time series. Try methods like Isolation Forest or LOF for detecting spikes.”