Flood prediction as we known is a important role in reducing the impacts of effective disasters . This paper says that a linear regression-based model is designed for forecasting flood occurrences by ...

With the rising costs of wind and solar putting those projects at risk of cancellation, natural gas prices are expected to climb. So? In Oklahoma, Kentucky, and Missouri rates could increase as much ...

This project uses historical BTC-USD data to predict the next day's logarithmic returns. The primary goal is to build and evaluate simple linear regression models (Linear, Ridge, Lasso) and ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

Accurate prediction of customer credit ratings is essential for effective financial risk management. Despite this, recent research in this area has not effectively modeled the relationships between ...