Time Series Forecasting

Autoregressive Integrated Moving Average (ARIMA) is a statistical method for analyzing time series data. It's a powerful tool for forecasting future values based on past observations. ARIMA models are particularly useful when dealing with time series data that exhibits trends, seasonality, or both.