Abstract: The recent development of advanced data analytics and machine learning promoted the introduction of diverse learning techniques designed to alleviate challenges related to two major ...

Each task is aligned with a corresponding Kaggle competition and follows strict constraints: only traditional machine learning (ML) models are allowed — no deep learning or pre-trained models.

Abstract: This research paper addresses the pressing issue of air quality monitoring and prediction using machine learning algorithms. With a dataset comprising pollutant levels from various states, ...

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Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.