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: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...

Introduction: Systemic glucocorticoids (SG) are administered to quell hyper-inflammation in severe community acquired pneumonia (SCAP), yet trials report inconsistent efficacy and no mechanistic ...

ABSTRACT: Heart disease remains one of the leading causes of mortality worldwide, accounting for millions of deaths annually. Early detection of individuals at risk is essential for reducing ...

Partnership launches AI solution to enhance predictive heart valve visualization and personalize valve treatment planning decisions enabling the future of TAVR for structural heart patients DUBLIN, OH ...

Loan Default Risk Prediction System — A machine learning project in Python that predicts whether loans will be repaid or defaulted. It implements Logistic Regression as a simple baseline and Random ...

This set of notebooks enables the analysis of comorbidities associated with male infertility using structured EHR data. First, we identified nonoverlapping patients with male infertility and patients ...

Abstract: Lung cancer remains one of the most important issues related to cancer mortality worldwide due to the late diagnosis and the need for invasive biopsy procedures. There has emerged a new and ...

The creation of the NFL schedule grows in complexity each year, not only with new TV partners and game times, but also the analytical tools deployed to optimize the 272-game regular season. “We’re ...