Video Presentation: Multi-variate (15,000) Time-Series Forecasting for Inventory Items

Video Presentation: Multi-variate (15,000) Time-Series Forecasting for Inventory Items

Recently, I was working on a project while using bagging tree-based algorithms for low-frequency time-series data. Originally, the data set contained only three variables for each series. However, given the nature of time-series data stored in the wide formar, I succeeded in engineeing 300 more features. The presentation was first introduced during an online session organized by A.I. Socratic Circles https://aisc.ai.science/

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Jiri Stodulka
Data Scientist

Former athlete passionate about Artificial Inteligence, Machine Learning, Economics, and next-generation business solutions.