Introducing Bloomberg’s New Quant Platform for Sell-Side – BQNT

Bloomberg has released a new product aimed specifically at the quant community. Quants and python proficient employees can ...
GitHub

StatsPAI: an Agent&Python-native Stata/R replacement for applied causal inference

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 ...
GitHub

Statistical Foundation of Data Science

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

Exploratory Data Analysis (EDA): What it is and How to Do it Easily

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, ...
BMJ

Prediction of zero-dose children using supervised machine learning algorithm in Tanzania: evidence from the recent 2022 Tanzania Demographic and Health Survey

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 ...
Europe PMC

Understanding basic principles of Artificial Intelligence: a practical guide for intensivists.

High-performance characteristics and strict quality controls are needed during its progress. During this process, different measures can be identified (pre-processing, exploratory data analysis, model ...