While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to ...

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 ...

Figure 1 Alternative logistic regression models with odds ratio (OR) per 0.10 units of increase in the frailty index. Alternatively, ordinal logistic regression can be used. It comes in several ...

Age, blood pressure, and metabolic risk factors can predict arterial stiffness progression over five years, a recent study ...

Using the load consumption dataset along with the collected meteorological dataset, a total of 19 regression model-based day-ahead load forecasting algorithms for Memorial University of Newfoundland’s ...

This study examines 1495 publicly listed companies over the period 2016-2022 to assess whether higher ESG (environmental, social, and governance) scores are associated with greater cash dividend ...

Therefore, we developed the three-level hierarchical logistic model that predicts the preferred playback speed of audio material on the scale from “very low speed” to “high speed” for beginners and ...

This is normally done using linear regression models for continuous variables, such as weight, and with logistic regression models for dichotomous variables, such as marital status. Together, these ...

The aim of the course is to make the participants familiar with advanced statistical regression methods applied to clinical research and epidemiology. This will give the participants a better basis ...

Python implementations of some of the fundamental Machine Learning models and algorithms from scratch. The purpose of this project is not to produce as optimized and computationally efficient ...