What is time-series forecasting, and how do you handle seasonality in models?

Time-series forecasting predicts future data based on historical trends. Seasonality is managed by identifying and adjusting for recurring patterns using techniques like SARIMA or decomposition.For example, Predicting monthly sales by accounting for holiday spikes or seasonal trends.