Introduction Armed conflict severely impacts health, with indirect deaths often exceeding direct casualties two to four times ...

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

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

Predictive Analytics is a sophisticated forecasting system that relies on data mining, statistical modelling, and machine learning. It is an offshoot of advanced analytics that uses historical data to ...

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

The Buffalo Bills haven't won in Houston since the J.P. Losman days, and that didn't change, dropping another one to the Texans, 23-19. The Texans' defense is No. 1 in the league for a reason, and ...

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

This C library provides efficient implementations of linear regression algorithms, including support for stochastic gradient descent (SGD) and data normalization techniques. It is designed for easy ...

Objective To undertake a contemporary review of the impact of exercise based cardiac rehabilitation (ExCR) for patients with atrial fibrillation (AF). Data sources CENTRAL, MEDLINE, Embase, PsycINFO, ...