Abstract: The aim of this paper is to construct a model by both multiple linear regression and grey correlation analysis in order to improve the accuracy and depth of understanding of air quality ...

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...

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, ...

The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict an employee's salary based on age, height, years of experience, and so on ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...

ABSTRACT: The focus of this paper was to assess the influence of TMT characteristics on sustainable competitive advantage and gender diversity of Pure water companies in Ghana. The study targeted TMT ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Excel functions can be incredibly powerful, and many are wondering if it’s possible to use Excel XLOOKUP with multiple criteria. In this guide, we’re going to answer this question. If there are ...

This lesson will be more of a code-along, where you'll walk through a multiple linear regression model using both statsmodels and scikit-learn. Recall the initial regression model presented. It ...

Background: The aim of the present study was to establish a predictive model to predict the peritoneal cancer index (PCI) preoperatively in patients with pseudomyxoma peritonei (PMP). Conclusion: This ...