Preventing deaths during wildfires is a central public safety goal. Communities are often assumed to be safer when they have more ways to evacuate, yet few studies have measured when limited road ...

StatsPAI is for empirical researchers who would normally jump between Stata, R, and Python. Its goal is to make common Stata/R econometrics and causal-inference workflows feel native in Python: load a ...

This repository contains comprehensive implementations and solutions for statistical analysis, data science methodologies, and computational mathematics assignments. Each assignment demonstrates ...

Foundation of Data Science: EDA uncovers structure, errors, and patterns in datasets, ensuring reliable insights before modeling. Versatile Techniques: From univariate checks to multivariate analysis, ...

This important study presents compelling observational data supporting a role for transcription and polysome accumulation in the separation of newly replicated bacterial chromosomes. Through a ...

Objectives This study aimed to employ machine learning algorithms to predict the factors contributing to zero-dose children in Tanzania, using the most recent nationally representative data. Design ...