Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

Overview: Predictive models turn historical data into reliable forecasts that support accurate planning across ...

A groundbreaking study by the Psychiatric Genomics Consortium has revealed significant genetic overlap among 14 psychiatric ...

Machine learning models delivered the strongest performance across nearly all evaluation metrics. CHAID and CART provided the ...

Microglial activity appears to determine when amyloid becomes biologically significant, reshaping how clinicians interpret ...

Ateganosine (THIO, 6-thio-2'-deoxyguanosine), a first-in-class telomere-targeting therapy under development by MAIA ...

The AI’s learned behavior shows a clear preference for high-density, mixed-use development, increasing the spatial clustering ...

Overview:  Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets ...

Across both academic models and real hedge-fund examples, the study finds that alpha is often an artefact of omitted risks, imperfect benchmarks, unstable betas and inappropriate assumptions about ...

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R ...

For all the attention on AI-assisted development, from autocomplete tools to systems that generate entire repositories, the conversation remains focused on speed. Everyone is talking about faster ...

Background Primary healthcare is crucial for universal health coverage in low- and middle-income countries. While research on ...