What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

The first quarter of 2025 was a mixed bag for Hollywood earnings. The latest round, which covered January to March, saw substantial drops for both domestic box office and linear television, continuing ...

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 ...

In this video, we will implement Multiple Linear Regression in Python from Scratch on a Real World House Price dataset. We will not use built-in model, but we will make our own model. This can be a ...

ROME, Italy — Forget invasive blood tests and expensive doctor visits; your breath might hold the key to monitoring kidney disease. Scientists from Italy have cleverly repurposed the humble face mask, ...

ABSTRACT: The stochastic configuration network (SCN) is an incremental neural network with fast convergence, efficient learning and strong generalization ability, and is widely used in fields such as ...

Abstract: Linear discriminant analysis (LDA) faces challenges in practical applications due to the small sample size (SSS) problem and high computational costs. Various solutions have been proposed to ...

As we enter 2025, the global television industry finds itself at a pivotal juncture. In Miami, during a Content Americas presentation today, Ampere analyst Fred Black provided a comprehensive overview ...

Linear techniques include ordinary linear regression, L1 (lasso) and L2 (ridge) regression, and linear support vector regression (linear SVR). This article presents a demo of linear SVR, implemented ...