815: Polars: Faster DataFrame Ops, with Marco Gorelli
Super Data Science: ML & AI Podcast with Jon Krohn
Mastering Forecasting Competitions
This chapter explores the speaker's experiences in forecasting competitions like M5 and M6, focusing on the importance of cross-validation and practical strategies for model improvement. It emphasizes the balance between simplicity and performance in forecasting, offers tips on k-fold cross-validation, and concludes with book recommendations for further learning.
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