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

With the backdrop of Warner Bros. Discovery now in full play -- in terms of a possible sale -- think of the linear TV/streaming relationship, as it relates to WBD and other similar legacy media ...

This repository contains a mockup full-stack application that fetches a wide range of U.S. economic data from the FRED API, vectorizes it using Pinecone, and provides a chatbot interface for querying ...

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, ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

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

Deebo Samuel had a list of five teams he was open to getting moved to when he requested a trade from the San Francisco 49ers—including the Washington Commanders, who he was ultimately traded to ...

AI agents are taking over your business world. More and more entrepreneurs hear the term but don't know what it means or how it applies to them. It's confusing, technical, and moves fast. Fall behind ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of k-nearest neighbors regression to predict a single numeric value. Compared to other machine learning ...

Classic rock and country music converged in a major way in the 1970s when country rock was born. One of the defining songs of the subgenre is The Eagles’ “Take It Easy.” A member of the band connected ...