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 ...

ABSTRACT: Introduction: The global increase in maternal age at conception, facilitated by socio-economic advancements and assisted reproductive technologies, has led to a rise in so-called geriatric ...

ABSTRACT: This paper reviews fault identification and predictive maintenance techniques essential for the reliable operation of high-voltage power systems. The increasing integration of renewable ...

Objective: There is limited study on predictive models for live births in patients with polycystic ovarian syndrome (PCOS). The study aimed to develop and validate a nomogram for predicting live ...

Objective: This study aimed to investigate the incidence and risk factors of psychiatric disorders following traumatic brain injury (TBI). Methods: A total of 232 patients with closed TBI admitted to ...

Abstract: This study tries to detect fake job advertisements online using Novel Logistic Regression and compares its accuracy with linear regression. Data collection and model training are essential ...

Furthermore, EHRs serve as the primary interface for clinicians and laboratories to order tests and receive results, but molecular profiling results and their interpretation often exist outside of the ...

The Statistical Package for the Social Sciences (SPSS) is a powerful software tool that allows you to analyze data efficiently. It is widely used in various fields, including research, survey analysis ...