What is time series modeling?

Time series modeling involves analyzing data points indexed in time order. This approach is commonly used for forecasting future values based on historical trends, patterns, and dependencies within the data. It's applied in various fields like finance, economics, meteorology, and signal processing to predict outcomes, detect anomalies, and understand underlying processes.