Time series analysis is the study of data points ordered over time to identify patterns, trends, seasonality, anomalies, or forecasts. In machine learning and statistics, it supports tasks such as prediction, classification, clustering, and monitoring of temporal data.
A subfield of machine learning and statistics that analyzes temporal data. Many types of machine learning problems require time series analysis, including classification, clustering, forecasting, and anomaly detection. For example, you could use time series analysis to forecast the future sales of winter coats by month based on historical sales data.