A comprehensive guide to time-series forecasting using Facebook's Prophet library, covering everything from basic implementation to advanced features like custom seasonality and hyperparameter tuning.
The article provides practical examples using real data and includes deployment strategies for building interactive forecasting systems.
Reasons to Read -- Learn:
how to implement a complete time-series forecasting system using Prophet, with step-by-step guidance from data loading to model evaluation and deployment
advanced Prophet features like custom seasonality configuration, holiday effect handling, and hyperparameter tuning that can significantly improve forecasting accuracy
practical deployment strategies for turning a forecasting model into an interactive system using Flask or Streamlit, with real-world applications in e-commerce, energy sector, and event management
publisher: @bhatadithya54764118
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