Previous methods struggle to incorporate real-time data or account for nonlinear interactions among macroeconomic variables.

A new study finds that teens exposed to stronger heatwaves are more likely to experience mental health symptoms, raising ...

Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania.

Background Stillbirths and associated outcomes remain a significant concern in sub-Saharan Africa (SSA), with approximately 41% of global stillbirths. Design Our cross-sectional analysis included a ...

The complex distributed systems installed in vehicles represent the cutting edge of the automotive industry. Electronic control units communicate with each other by sending and receiving messages over ...

Loaded dataset from CSV. Preprocessed data (removed constant columns, handled missing values). Applied StandardScaler. Trained a LogisticRegression model using Scikit-learn. Evaluated using confusion ...

Contribute to MaddyRizvi/PCA-Logistic-Regression-Wine-Dataset development by creating an account on GitHub.

Logistic regression is a powerful and versatile tool for modeling binary outcomes, such as yes/no, success/failure, or positive/negative. In this article, you will learn how to use logistic ...