Time Series Analysis
Model dependence over time using autocorrelation and ARIMA. Handle trend and seasonality for accurate forecasts.
📚 Fundamentals
- ACF/PACF: correlation at lags
- Stationarity: stabilized by differencing
- ARIMA(p,d,q): autoregression, differencing, moving average