Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

This article presents a logistic regression-based approach to automating education loan approval processes in the context of Indian banks. Our methodology is distinguished by its focus on education ...

Struggling to understand how logistic regression works with gradient descent? This video breaks down the full mathematical derivation step-by-step, so you can truly grasp this core machine ...

The chart is meant to help medical providers diagnose skin conditions and recommend treatment for airmen and Space Force guardians.

Article citations More>> Kumar, N.A., Jangale, L., Sathe, V., Shelke, A. and Redij, T. (2024) Study of Supervised Logistic Regression Algorithm. Alochana Journal, 13, 227-230. has been cited by the ...

This study compared the performance of traditional logistic regression and machine learning models in predicting adult sepsis mortality. Objective: To develop an optimum model for predicting the ...

Despite the allure of creating such a machine, a growing body of evidence suggests that AGI will never be realized.