[social4i size="small" align="align-left"][This article was first published onDataGeeek, and kindly contributed toR-bloggers]. (You can report issue about the content on this pagehere)Want to share your content on R-bloggers?click hereif you have a blog, orhereif you don't.Forecasting financial markets, such as the STOXX Europe 600 Index, presents a classic Machine Learning challenge: the data is inherently noisy, non-stationary, and highly susceptible to sudden market events. To tackle this, we turn toAutomated Machine Learning (AutoML)—specifically the powerful, scalable framework provided
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