This project uses public data about the stock trades made by members of the US House of Representatives. This data is collected and maintained by Timothy Carambat as part of the House Stock Watcher ...

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, ...

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 ...