VN1 Forecasting - Accuracy Challenge Phase 1
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Flieber, Syrup Tech, and SupChains Launch an AI-Driven Supply Chain Forecasting Competition
Learn about a new algorithm on the scene and get a good score along the way!
MFLES combines time series decomposition and gradient boosting in order to provide strong forecasting ability AND flexibility. This notebook will provide a brief overview of the method as well as some potential tweaks you can make to get the most out of it!
The current implementation does not use price but MFLES can handle exogenous variables, so give it a shot!
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