Time Features
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Extracting informative features from temporal data for time-series modeling and forecasting.
Techniques
- Lag Features — previous values as features (t-1, t-2, …)
- Rolling Statistics — moving average, rolling std, min, max
- Cyclical Encoding — sin/cos encoding for cyclical patterns (hour, day of week)
Related
- Numerical Features (time as numeric)
- Train-Validation-Test Split (time-based splits for temporal data)