SciELO

Obesity classification: a comparative study of machine learning models excluding weight and height data

OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...
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 ...
Scientific Research Publishing

Composition Analysis and Identification of Ancient Glass Products Based on L1 Regularization Logistic Regression ()

1 School of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, China. 2 School of Accounting, Anhui University of Finance and Economics, Bengbu, China. 3 School of ...
IEEE

Loan Eligibility Classification Using Logistic Regression

Abstract: Machine learning is becoming increasingly vital in various domains, including loan eligibility classification, d ue to its ability to analyze large amounts of data, develop predictive models ...
GitHub

Credit Card Approval Prediction using Logistic Regression || Classification

Commercial banks receive a lot of applications for credit cards. Many of them get rejected for many reasons, like high loan balances, low income levels, or too many inquiries on an individual's credit ...