Forecasting, Data Science, Python, Data Visualization, Machine Learning.
Average (ARIMA) Who: Data analysts and forecasters What: ARIMA models auto-regression, differencing, and moving averages to make forecasts When: Useful for non-seasonal data with trends and patterns Where: Applicable to a wide range of time series datasets Why: Provides a flexible framework for