Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles ...
Abstract: This paper explores the changes and effects of momentum in tennis matches, and introduces indicators such as "leverage", "turning point" and "leverage momentum" to construct a classification ...
The job market faces a persistent gap between AI knowledge and practical application. Employers seek professionals who can navigate real-world challenges.
Abstract: The ability to accurately predict the house price is fundamental within the real estate sector as it provides useful information to potential buyers, sellers, investors, and policymakers.
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
We evaluated machine learning algorithms (random forest [RF], extra-trees classifier, and light gradient boosting machine) and selected the RF model as the final model based on its performance. To ...
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