Forecasting, Data Science, Python, Data Visualization, Machine Learning.
observations, with weights decaying exponentially When: Useful for data without trend or seasonal patterns Where: Can be applied to any stationary time series data Why: Simple yet effective for short-term forecasting How: By applying exponentially decreasing weights to past observations D1. Simple