Overview
Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects.
Key Features
- Robustness: Handles missing data and outliers well.
- Ease of Use: Designed to be used by analysts who may not have deep expertise in time series modeling.
- Flexibility: Allows for manual adjustment of trend changes and seasonal components.
Use Cases
- Predicting daily active users for a website.
- Forecasting sales for retail businesses with complex seasonal patterns.