Background Postoperative cerebral infarction following coronary artery bypass grafting (CABG) for multivessel coronary artery ...
The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...
Developed an end-to-end customer churn prediction ML pipeline using Python, pandas, and scikit-learn. Implemented and trained a logistic regression model, then deployed it as a REST API service using ...
Objective: This study aimed to examine the relationship between physical activity volume and sleep duration in older adults, using objective monitoring data to investigate their non-linear association ...
Department of Industrial and Systems Engineering, North Carolina A & T State University, Greensboro, NC, USA. According to the Centers for Disease Control and Prevention (CDC), diabetes is a long-term ...
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 ...
This project uses concepts from the TV show The Good Place to explore binary and multinomial logistic regression. The dataset contains behavioral features from 1,000 individuals—such as how often they ...
Background Non-motor symptoms are highly prevalent in prodromal Parkinson’s disease (PD); however, their impact on PD trajectory remains largely unexplored. We aimed to assess whether prevalent ...
Background: To establish a classification model for assisting the diagnosis of type 2 diabetes mellitus (T2DM) complicated with coronary heart disease (CHD). Methods: Patients with T2DM who underwent ...
Abstract: In the specific paper's context, the main aim is to use the logistic regression data set to look into the forecast of the failed escalator through the random forest machine learning ...
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