: Traditional models like ARIMA and Exponential Smoothing are presented as robust baselines, especially for smaller datasets where complex models might overfit.
: Future values are intrinsically linked to past observations. Practical Time Series Analysis - Aileen Nielsen...
: The guide introduces non-linear approaches such as Random Forests , XGBoost , and Deep Learning (LSTMs, CNNs, and Transformers) for capturing complex temporal patterns. : Traditional models like ARIMA and Exponential Smoothing