IEEE

Analysing and Predicting Loan-Default Possibility Using Machine Learning Models

Abstract: In this paper, the loan-default risk has been calculated using machine learning. It suggests and compares XGBoost, Logistic Regression, Gradient Boosting, and Random Forest models according ...
Hosted on MSN

Build logistic regression in Python from scratch easily

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from Scratch. We will not use any build in models, but we will understand the code ...
IEEE

Prediction of Employee Attrition Classification and Retention Strategies Using Gradient Boosting with Binary Logistic Regression

Abstract: A voluntary or involuntary parting of an employee from an organization is known as and the strategies to maintain an employee are known as Employee attrition (turnover) and retention.
Frontiers

Predicting cognitive impairment in Parkinson’s disease: a machine learning approach based on clinical and neuropsychological data

Background: Cognitive impairment is a common and disabling non-motor symptom of Parkinson’s disease, markedly diminishing quality of life and elevating caregiver burden. Although considerable research ...