Time series data is everywhere. Stock prices. Sensor readings. Website traffic. Heart rate signals. Weather measurements.
The common thread? Order matters.
Most traditional models treat time series as sequences of numbers sampled at fixed intervals. We feed lagged values into ARIMA, LSTMs, or gradient boosting and hope the model captures temporal structur…
