A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Environmental planning faces critical challenges, including inconsistent data quality, a shortage of technical expertise, and inadequate data sharing ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Abstract: Predictions regarding the production of renewable energies are important for all the branches of an economy, influencing the investments in new industrial facilities and in technology ...

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from Scratch. We will not use any build in models, but we will understand the code ...

Uncrowned is a new destination for all things MMA, boxing, wrestling, and more, featuring Ariel Helwani.

[~/regression-testing]$ hyperfine --warmup=10 "cp313/python/bin/python3.13 dicttest.py" "cp314/python/bin/python3.14 dicttest.py" Benchmark 1: cp313/python/bin ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

It's been a great time to be in the Big Ten these last few years. While the conference has long been the leader in the race to accrue television revenue thanks to the transfer portal and NIL era, ...

This set of notebooks enables the analysis of comorbidities associated with male infertility using structured EHR data. First, we identified nonoverlapping patients with male infertility and patients ...