Abstract: Heavy rainfall prediction is crucial for various applications such as flood forecasting, water resource management, and agriculture. In this study, we propose a multi linear regression ...

Sometimes floors seem to get dirty in the blink of an eye. Maybe you’ve tracked dirt into your living room or forgotten to clean up a spill that’s now hardened on your kitchen tiles. These are times ...

We may receive a commission on purchases made from links. The oscillating multi-tool can be one of the most important tools you bring into a collection. This piece of ...

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, ...

We may receive a commission on purchases made from links. The screwdriver is one of the most important hand tools in any user's collection. These tools offer a traditional means of securing material ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...

Abstract: This paper presents an autoML algorithm to select linear regression model and its performance evaluation for any linear dataset. It computes and compares the performance of various multiple ...

The analysis of multi-environment trials (MET) data in plant breeding and agricultural research is inherently challenging, with conventional ANOVA-based methods exhibiting limitations as the ...

Ronald Goncalves is a contributor at DualShockers and a Venezuelan political scientist and economist who seeks to express his passion for video games through the always subjective interpretation of ...