. ├── app/ # FastAPI application ├── train/ # Training scripts ├── assets/images/ # Images, diagrams ├── requirements.txt # Python dependencies ├── Dockerfile ├── .env.dist # Sample environment ...

ABSTRACT: This study investigates the relationship between public debt and economic growth in Uganda for the period 1990 to 2023 using a nonlinear autoregressive distributed lag (NARDL) model. The ...

Abstract: Logistic regression is a fundamental and widely used statistical method for modeling binary outcomes based on covariates. However, the presence of missing data, particularly in settings ...

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 ...

Today’s post is the third, and final, one in a series providing guidance to teachers on how to interpret education research. Cara Jackson currently serves as the president of the Association for ...

The literature examining the utility of beta blockers in the setting of acute coronary syndrome (ACS) to limit infarct size has produced conflicting results within and across treatment eras. Animal ...

Accounting for interindividual variability through within-individual sampling required 40× fewer pairs of samples to achieve statistical significance with 4× to 5× greater effect size at significance.

Abstract: The classification problem represents a funda-mental challenge in machine learning, with logistic regression serving as a traditional yet widely utilized method across various scientific ...

Learn how to implement Logistic Regression from scratch in Python with this simple, easy-to-follow guide! Perfect for beginners, this tutorial covers every step of the process and helps you understand ...