Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

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 ...

Linear Regression Practice Using Python This study involves practical application of regression analysis, as covered in the Google Advanced Data Analytics course. For more information, you may refer ...

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 ...

ABSTRACT: This paper proposes a universal framework for constructing bivariate stochastic processes, going beyond the limitations of copulas and offering a potentially simpler alternative. The ...

Abstract: Understanding and analyzing the effects of channel fading is crucial for mitigating signal degradation, enhancing transmission reliability, and improving overall communication service ...

Here we apply the DC-SIS, NIS and RV-SIS methods to identify the most influential genes for over-expression of a G protein-coupled receptor (Ro1) in mice in the Cardiomyopathy microarray dataset [10].