Time Series Analysis and Forecasting

Time series analysis is a critical tool in machine learning that helps understand and make predictions based on sequential data such as stock prices, sales data, weather patterns, and more. A time series represents a series of data points collected in regular intervals over a specific period of time. The goal of time series analysis is to understand the underlying patterns in the data, identify trends and seasonality, and make accurate predictions (forecasts). This chapter will provide an overview of the techniques used in time series analysis and discuss their applications in various fields such as finance, economics, and engineering.